Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
Master AI Theory (Artificial Intelligence) in 10 days ๐๐
Day 1: Introduction to AI
- Start with an overview of what AI is and its various applications.
- Read articles or watch videos explaining the basics of AI.
Day 2-3: Machine Learning Fundamentals
- Learn the basics of machine learning, including supervised and unsupervised learning.
- Study concepts like data, features, labels, and algorithms.
Day 4-5: Deep Learning
- Dive into deep learning, understanding neural networks and their architecture.
- Learn about popular deep learning frameworks like TensorFlow or PyTorch.
Day 6: Natural Language Processing (NLP)
- Explore the basics of NLP, including tokenization, sentiment analysis, and named entity recognition.
Day 7: Computer Vision
- Study computer vision, including image recognition, object detection, and convolutional neural networks.
Day 8: AI Ethics and Bias
- Explore the ethical considerations in AI and the issue of bias in AI algorithms.
Day 9: AI Tools and Resources
- Familiarize yourself with AI development tools and platforms.
- Learn how to access and use AI datasets and APIs.
Day 10: AI Project
- Work on a small AI project. For example, build a basic chatbot, create an image classifier, or analyze a dataset using AI techniques.
5 Free NLP Courses
https://t.me/airesourcestp/110
AI/ML Free Courses by 6 Top Institutions
https://bit.ly/4hCdn45
ENJOY LEARNING ๐๐
More Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Day 1: Introduction to AI
- Start with an overview of what AI is and its various applications.
- Read articles or watch videos explaining the basics of AI.
Day 2-3: Machine Learning Fundamentals
- Learn the basics of machine learning, including supervised and unsupervised learning.
- Study concepts like data, features, labels, and algorithms.
Day 4-5: Deep Learning
- Dive into deep learning, understanding neural networks and their architecture.
- Learn about popular deep learning frameworks like TensorFlow or PyTorch.
Day 6: Natural Language Processing (NLP)
- Explore the basics of NLP, including tokenization, sentiment analysis, and named entity recognition.
Day 7: Computer Vision
- Study computer vision, including image recognition, object detection, and convolutional neural networks.
Day 8: AI Ethics and Bias
- Explore the ethical considerations in AI and the issue of bias in AI algorithms.
Day 9: AI Tools and Resources
- Familiarize yourself with AI development tools and platforms.
- Learn how to access and use AI datasets and APIs.
Day 10: AI Project
- Work on a small AI project. For example, build a basic chatbot, create an image classifier, or analyze a dataset using AI techniques.
5 Free NLP Courses
https://t.me/airesourcestp/110
AI/ML Free Courses by 6 Top Institutions
https://bit.ly/4hCdn45
ENJOY LEARNING ๐๐
More Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
What is funding in crypto trading? ๐ธ
In cryptocurrencies, funding refers to the funding rate that is redistributed among traders holding positions in perpetual futures.
Funding is a periodic payment/write-off for traders with open positions in perpetual futures, which allows them to compensate for the long-term difference between the price of the underlying asset and the derivative contract.
The need for funding arose from the idea of โโperpetual futures, which have no maturity and can be held indefinitely. Therefore, to compensate for the difference in the price of the asset and the contract, a financing rate mechanism was launched.
Non-Recourse Loans in Crypto: https://t.me/techpsyche/756
Signs of Bearish Trend in Crypto: https://t.me/techpsyche/739
Cryptocurrency Investing: https://t.me/techpsyche/723
Liquidity: https://t.me/techpsyche/712
More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
#crypto #web3 #blockchain #finance #stocks
In cryptocurrencies, funding refers to the funding rate that is redistributed among traders holding positions in perpetual futures.
Funding is a periodic payment/write-off for traders with open positions in perpetual futures, which allows them to compensate for the long-term difference between the price of the underlying asset and the derivative contract.
The need for funding arose from the idea of โโperpetual futures, which have no maturity and can be held indefinitely. Therefore, to compensate for the difference in the price of the asset and the contract, a financing rate mechanism was launched.
Non-Recourse Loans in Crypto: https://t.me/techpsyche/756
Signs of Bearish Trend in Crypto: https://t.me/techpsyche/739
Cryptocurrency Investing: https://t.me/techpsyche/723
Liquidity: https://t.me/techpsyche/712
More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
#crypto #web3 #blockchain #finance #stocks
This is a very COMMON issue that I observe in the projects of aspiring candidates
They download a DATASET from Kaggle or any other website
Export it to a Data Analysis TOOL
And START the project with data cleaning
After cleaning the data, they PLUG it into a dashboard
In the dashboard, they put EVERY column into the visuals
Also they APPLY the filters of top bottom 10
Once done, they crack their KNUCKLES
And put this project in a list of SUCCESSFULLY completed projects
Over time, I have REVIEWED so many portfolio projects
And I see this ISSUES almost every time
When I go to their portfolio, for every project there is a DASHBOARD
But WHAT should I do after seeing a dashboard
What is it trying to SAY
What should I do after SEEING top or bottom 10 cities, states or products
Every dashboard lacks CONTEXT
And why NOT
Because they DON'T even know the business problem or problem statement
So the dashboard you created is of NO use
Your job is not just to create DASHBOARDS
Your job would be to create DASHBOARDS to take out important INSIGHTS
And from those insights, you will build RECOMMENDATIONS
And these recommendations will be given to stakeholders as a SOLUTION to their business problem
If they implemented your IDEAS and the problem gets solved
Now you can say your work is DONE
If you are SHOWING bottom 10 states, then what
You should write the INSIGHTS too
For example, the sales of North India zone are FALLING
The insights can be used like this
Delhi that used to be in TOP 5 states is now in the BOTTOM 10 states
And this might be the REASON why our North India sales are DROPPING so hard
This is just a RANDOM example showing how your charts become UNDERSTANDABLE
Well, everyone can EXTRACT insights from charts
Even a KID can do this after looking at the tallest and smallest bar
The real task is to give RECOMMENDATIONS to solve the BUSINESS problem
And I have NEVER seen this in anyone's portfolio
If you are doing this, then you are easily STANDING out in the crowd
In my PORTFOLIO, I used to keep business problem, insights, dashboard and recommendations
Even in the bullet point of projects in my resume, I included RECOMMENDATIONS
Now this is what you can call a STRONG portfolio
Because your analysis skills are the SAME as those used in the real life by a Data Analyst
7 Free Data Analytics Certification Courses๐๐
https://tinyurl.com/326exaw7
Like if it helps ๐
Find More Tips & Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
They download a DATASET from Kaggle or any other website
Export it to a Data Analysis TOOL
And START the project with data cleaning
After cleaning the data, they PLUG it into a dashboard
In the dashboard, they put EVERY column into the visuals
Also they APPLY the filters of top bottom 10
Once done, they crack their KNUCKLES
And put this project in a list of SUCCESSFULLY completed projects
Over time, I have REVIEWED so many portfolio projects
And I see this ISSUES almost every time
When I go to their portfolio, for every project there is a DASHBOARD
But WHAT should I do after seeing a dashboard
What is it trying to SAY
What should I do after SEEING top or bottom 10 cities, states or products
Every dashboard lacks CONTEXT
And why NOT
Because they DON'T even know the business problem or problem statement
So the dashboard you created is of NO use
Your job is not just to create DASHBOARDS
Your job would be to create DASHBOARDS to take out important INSIGHTS
And from those insights, you will build RECOMMENDATIONS
And these recommendations will be given to stakeholders as a SOLUTION to their business problem
If they implemented your IDEAS and the problem gets solved
Now you can say your work is DONE
If you are SHOWING bottom 10 states, then what
You should write the INSIGHTS too
For example, the sales of North India zone are FALLING
The insights can be used like this
Delhi that used to be in TOP 5 states is now in the BOTTOM 10 states
And this might be the REASON why our North India sales are DROPPING so hard
This is just a RANDOM example showing how your charts become UNDERSTANDABLE
Well, everyone can EXTRACT insights from charts
Even a KID can do this after looking at the tallest and smallest bar
The real task is to give RECOMMENDATIONS to solve the BUSINESS problem
And I have NEVER seen this in anyone's portfolio
If you are doing this, then you are easily STANDING out in the crowd
In my PORTFOLIO, I used to keep business problem, insights, dashboard and recommendations
Even in the bullet point of projects in my resume, I included RECOMMENDATIONS
Now this is what you can call a STRONG portfolio
Because your analysis skills are the SAME as those used in the real life by a Data Analyst
7 Free Data Analytics Certification Courses๐๐
https://tinyurl.com/326exaw7
Like if it helps ๐
Find More Tips & Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
๐1
๐๐๐๐๐๐ ๐
๐๐๐ ๐๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ ๐๐ป
Transform your skills with these cutting-edge courses by NVIDIA.
Check out the following NVIDIA FREE AI Certification Courses
๐๐ข๐ง๐ค๐:-
https://tinyurl.com/5hessh3t
Enroll For FREE & Get Certified ๐
Transform your skills with these cutting-edge courses by NVIDIA.
Check out the following NVIDIA FREE AI Certification Courses
๐๐ข๐ง๐ค๐:-
https://tinyurl.com/5hessh3t
Enroll For FREE & Get Certified ๐
Complete Data Science Roadmap ๐๐
1. Introduction to Data Science
- Overview and Importance
- Data Science Lifecycle
- Key Roles (Data Scientist, Analyst, Engineer)
2. Mathematics and Statistics
- Probability and Distributions
- Descriptive/Inferential Statistics
- Hypothesis Testing
- Linear Algebra and Calculus Basics
3. Programming Languages
- Python: NumPy, Pandas, Matplotlib
- R: dplyr, ggplot2
- SQL: Joins, Aggregations, CRUD
4. Data Collection & Preprocessing
- Data Cleaning and Wrangling
- Handling Missing Data
- Feature Engineering
5. Exploratory Data Analysis (EDA)
- Summary Statistics
- Data Visualization (Histograms, Box Plots, Correlation)
6. Machine Learning
- Supervised (Linear/Logistic Regression, Decision Trees)
- Unsupervised (K-Means, PCA)
- Model Selection and Cross-Validation
7. Advanced Machine Learning
- SVM, Random Forests, Boosting
- Neural Networks Basics
8. Deep Learning
- Neural Networks Architecture
- CNNs for Image Data
- RNNs for Sequential Data
9. Natural Language Processing (NLP)
- Text Preprocessing
- Sentiment Analysis
- Word Embeddings (Word2Vec)
10. Data Visualization & Storytelling
- Dashboards (Tableau, Power BI)
- Telling Stories with Data
11. Model Deployment
- Deploy with Flask or Django
- Monitoring and Retraining Models
12. Big Data & Cloud
- Introduction to Hadoop, Spark
- Cloud Tools (AWS, Google Cloud)
13. Data Engineering Basics
- ETL Pipelines
- Data Warehousing (Redshift, BigQuery)
14. Ethics in Data Science
- Ethical Data Usage
- Bias in AI Models
15. Tools for Data Science
- Jupyter, Git, Docker
16. Career Path & Certifications
- Building a Data Science Portfolio
Learn DatA & AI: https://365datascience.pxf.io/Z6KDgk
Free Notes & Books to learn Data Science: https://t.me/datascienceresourcestp
Python Project Ideas: https://t.me/pythonresourcestp/74
Best Resources to learn Data Science ๐๐
Python Tutorial (http://pythontutorial.net/)
Data Science Course (http://kaggle.com/learn) by Kaggle
Machine Learning Course (http://developers.google.com/machine-learning/crash-course) by Google
Best Data Science & Machine Learning Resources (https://topmate.io/learning_resources/1406977)
Interview Process for Data Science Role at Amazon (https://t.me/datascienceresourcestp/85)
Python Interview Resources (https://t.me/pythonresourcestp/40)
Join for more free courses
https://t.me/techpsyche
Like for more โค๏ธ
ENJOY LEARNING๐๐
Join Our WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1. Introduction to Data Science
- Overview and Importance
- Data Science Lifecycle
- Key Roles (Data Scientist, Analyst, Engineer)
2. Mathematics and Statistics
- Probability and Distributions
- Descriptive/Inferential Statistics
- Hypothesis Testing
- Linear Algebra and Calculus Basics
3. Programming Languages
- Python: NumPy, Pandas, Matplotlib
- R: dplyr, ggplot2
- SQL: Joins, Aggregations, CRUD
4. Data Collection & Preprocessing
- Data Cleaning and Wrangling
- Handling Missing Data
- Feature Engineering
5. Exploratory Data Analysis (EDA)
- Summary Statistics
- Data Visualization (Histograms, Box Plots, Correlation)
6. Machine Learning
- Supervised (Linear/Logistic Regression, Decision Trees)
- Unsupervised (K-Means, PCA)
- Model Selection and Cross-Validation
7. Advanced Machine Learning
- SVM, Random Forests, Boosting
- Neural Networks Basics
8. Deep Learning
- Neural Networks Architecture
- CNNs for Image Data
- RNNs for Sequential Data
9. Natural Language Processing (NLP)
- Text Preprocessing
- Sentiment Analysis
- Word Embeddings (Word2Vec)
10. Data Visualization & Storytelling
- Dashboards (Tableau, Power BI)
- Telling Stories with Data
11. Model Deployment
- Deploy with Flask or Django
- Monitoring and Retraining Models
12. Big Data & Cloud
- Introduction to Hadoop, Spark
- Cloud Tools (AWS, Google Cloud)
13. Data Engineering Basics
- ETL Pipelines
- Data Warehousing (Redshift, BigQuery)
14. Ethics in Data Science
- Ethical Data Usage
- Bias in AI Models
15. Tools for Data Science
- Jupyter, Git, Docker
16. Career Path & Certifications
- Building a Data Science Portfolio
Learn DatA & AI: https://365datascience.pxf.io/Z6KDgk
Free Notes & Books to learn Data Science: https://t.me/datascienceresourcestp
Python Project Ideas: https://t.me/pythonresourcestp/74
Best Resources to learn Data Science ๐๐
Python Tutorial (http://pythontutorial.net/)
Data Science Course (http://kaggle.com/learn) by Kaggle
Machine Learning Course (http://developers.google.com/machine-learning/crash-course) by Google
Best Data Science & Machine Learning Resources (https://topmate.io/learning_resources/1406977)
Interview Process for Data Science Role at Amazon (https://t.me/datascienceresourcestp/85)
Python Interview Resources (https://t.me/pythonresourcestp/40)
Join for more free courses
https://t.me/techpsyche
Like for more โค๏ธ
ENJOY LEARNING๐๐
Join Our WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Machine Learning Resources TP
Struggling with Machine Learning algorithms? ๐ค
Then you better stay with me! ๐ค
We are going back to the basics to simplify ML algorithms.
... today's turn is Logistic Regression! ๐๐ป
1๏ธโฃ ๐๐ข๐๐๐ฆ๐ง๐๐ ๐ฅ๐๐๐ฅ๐๐ฆ๐ฆ๐๐ข๐ก
It is a binary classification model used to classify our input data into two main categories.
It can be extended to multiple classifications... but today we'll focus on a binary one.
Also known as Simple Logistic Regression.
2๏ธโฃ ๐๐ข๐ช ๐ง๐ข ๐๐ข๐ ๐ฃ๐จ๐ง๐ ๐๐ง?
The Sigmoid Function is our mathematical wand, turning numbers into neat probabilities between 0 and 1.
It's what makes Logistic Regression tick, giving us a clear 'probabilistic' picture.
3๏ธโฃ ๐๐ข๐ช ๐ง๐ข ๐๐๐๐๐ก๐ ๐ง๐๐ ๐๐๐ฆ๐ง ๐๐๐ง?
For every parametric ML algorithm, we need a LOSS FUNCTION.
It is our map to find our optimal solution or global minimum.
(hoping there is one! ๐)
โ ๐๐ข๐ก๐จ๐ฆ - FROM LINEAR TO LOGISTIC REGRESSION
To obtain the sigmoid function, we can derive it from the Linear Regression equation.
Handling Imbalanced Data in ML: https://t.me/mlresourcestp/86
Then you better stay with me! ๐ค
We are going back to the basics to simplify ML algorithms.
... today's turn is Logistic Regression! ๐๐ป
1๏ธโฃ ๐๐ข๐๐๐ฆ๐ง๐๐ ๐ฅ๐๐๐ฅ๐๐ฆ๐ฆ๐๐ข๐ก
It is a binary classification model used to classify our input data into two main categories.
It can be extended to multiple classifications... but today we'll focus on a binary one.
Also known as Simple Logistic Regression.
2๏ธโฃ ๐๐ข๐ช ๐ง๐ข ๐๐ข๐ ๐ฃ๐จ๐ง๐ ๐๐ง?
The Sigmoid Function is our mathematical wand, turning numbers into neat probabilities between 0 and 1.
It's what makes Logistic Regression tick, giving us a clear 'probabilistic' picture.
3๏ธโฃ ๐๐ข๐ช ๐ง๐ข ๐๐๐๐๐ก๐ ๐ง๐๐ ๐๐๐ฆ๐ง ๐๐๐ง?
For every parametric ML algorithm, we need a LOSS FUNCTION.
It is our map to find our optimal solution or global minimum.
(hoping there is one! ๐)
โ ๐๐ข๐ก๐จ๐ฆ - FROM LINEAR TO LOGISTIC REGRESSION
To obtain the sigmoid function, we can derive it from the Linear Regression equation.
Handling Imbalanced Data in ML: https://t.me/mlresourcestp/86
๐1
Websites to Practice Your Coding Skills๐ฅ
๐ LeetCode
๐ HackerRank
๐ Topcoder
๐ CodeChef
๐ CodeWars
๐ Exercism
๐ Edabit
๐ Codingame
๐ CodeForces
๐ HackerEarth
๐ CodeSignal
๐ CoderByte
๐ SPOJ
๐ ProjectEuler
16 Websites to Learn Programming: https://t.me/techpsyche/634
๐ LeetCode
๐ HackerRank
๐ Topcoder
๐ CodeChef
๐ CodeWars
๐ Exercism
๐ Edabit
๐ Codingame
๐ CodeForces
๐ HackerEarth
๐ CodeSignal
๐ CoderByte
๐ SPOJ
๐ ProjectEuler
16 Websites to Learn Programming: https://t.me/techpsyche/634
"How AI Leaders Unlock Business Value ๐ก๐"
AI isnโt just hypeโitโs transforming businesses! Top-performing companies see AI driving productivity (44%), better decision-making (41%), and improved customer experience (40%). But why do AI leaders succeed where others struggle?
๐ก They focus on automation, innovation, and data-driven strategies. Meanwhile, companies lagging behind see less impact.
t.me/airesourcestp
AI isnโt just hypeโitโs transforming businesses! Top-performing companies see AI driving productivity (44%), better decision-making (41%), and improved customer experience (40%). But why do AI leaders succeed where others struggle?
๐ก They focus on automation, innovation, and data-driven strategies. Meanwhile, companies lagging behind see less impact.
t.me/airesourcestp
Choosing the right cryptocurrency exchange is crucial for a safe and efficient trading experience. Here are some factors to consider:
1. Security:
- Prioritize exchanges with a strong security track record, including features like two-factor authentication (2FA) and cold storage for the majority of funds.
2. Reputation:
- Research the exchange's reputation by reading user reviews, checking online forums, and assessing how long it has been in operation.
3. Supported Cryptocurrencies:
- Ensure the exchange supports the specific cryptocurrencies you want to trade or invest in. Not all exchanges list the same range of coins.
4. Fees:
- Compare trading fees, withdrawal fees, and any other charges. Some exchanges offer fee discounts based on trading volume or membership levels.
5. User Interface:
- Choose an exchange with an intuitive and user-friendly interface, especially if you are a beginner. A clean design can enhance your overall trading experience.
6. Liquidity:
- Higher liquidity generally means better price stability and faster execution of trades. Check the trading volume of the exchange and the specific cryptocurrency pairs you're interested in.
7. Geographic Restrictions:
- Be aware of any geographical restrictions imposed by the exchange. Ensure it operates in your country and complies with local regulations.
8. Regulatory Compliance:
- Verify that the exchange complies with relevant regulations in your jurisdiction. This adds an extra layer of security and legal protection.
9. Customer Support:
- Look for exchanges with responsive customer support. Issues may arise, and having a reliable support system is crucial for quick resolutions.
10. Deposit and Withdrawal Methods:
- Check the available deposit and withdrawal methods. Some exchanges support fiat currency deposits, while others may require you to trade using other cryptocurrencies.
11. Mobile App:
- If you prefer trading on the go, consider whether the exchange offers a mobile app with essential features for convenient trading.
12. Educational Resources:
- Some exchanges provide educational resources and tutorials. This can be beneficial, especially for beginners who want to learn more about trading and cryptocurrencies.
13. Insurance Coverage:
- Verify if the exchange has insurance coverage for potential losses due to hacks or breaches. This can provide an added layer of protection for users.
Always conduct thorough research before choosing an exchange, and consider starting with a smaller investment until you become familiar with the platform. Additionally, regularly review your chosen exchange's security features and stay informed about any updates or changes in policies.
Signs of Bearish Trend in Crypto: https://t.me/techpsyche/739
Non-Recourse Loans in Crypto: https://t.me/techpsyche/756
Funding in Crypto Trading: https://t.me/techpsyche/766
More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
#crypto #web3 #blockchain #finance #stocks
1. Security:
- Prioritize exchanges with a strong security track record, including features like two-factor authentication (2FA) and cold storage for the majority of funds.
2. Reputation:
- Research the exchange's reputation by reading user reviews, checking online forums, and assessing how long it has been in operation.
3. Supported Cryptocurrencies:
- Ensure the exchange supports the specific cryptocurrencies you want to trade or invest in. Not all exchanges list the same range of coins.
4. Fees:
- Compare trading fees, withdrawal fees, and any other charges. Some exchanges offer fee discounts based on trading volume or membership levels.
5. User Interface:
- Choose an exchange with an intuitive and user-friendly interface, especially if you are a beginner. A clean design can enhance your overall trading experience.
6. Liquidity:
- Higher liquidity generally means better price stability and faster execution of trades. Check the trading volume of the exchange and the specific cryptocurrency pairs you're interested in.
7. Geographic Restrictions:
- Be aware of any geographical restrictions imposed by the exchange. Ensure it operates in your country and complies with local regulations.
8. Regulatory Compliance:
- Verify that the exchange complies with relevant regulations in your jurisdiction. This adds an extra layer of security and legal protection.
9. Customer Support:
- Look for exchanges with responsive customer support. Issues may arise, and having a reliable support system is crucial for quick resolutions.
10. Deposit and Withdrawal Methods:
- Check the available deposit and withdrawal methods. Some exchanges support fiat currency deposits, while others may require you to trade using other cryptocurrencies.
11. Mobile App:
- If you prefer trading on the go, consider whether the exchange offers a mobile app with essential features for convenient trading.
12. Educational Resources:
- Some exchanges provide educational resources and tutorials. This can be beneficial, especially for beginners who want to learn more about trading and cryptocurrencies.
13. Insurance Coverage:
- Verify if the exchange has insurance coverage for potential losses due to hacks or breaches. This can provide an added layer of protection for users.
Always conduct thorough research before choosing an exchange, and consider starting with a smaller investment until you become familiar with the platform. Additionally, regularly review your chosen exchange's security features and stay informed about any updates or changes in policies.
Signs of Bearish Trend in Crypto: https://t.me/techpsyche/739
Non-Recourse Loans in Crypto: https://t.me/techpsyche/756
Funding in Crypto Trading: https://t.me/techpsyche/766
More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
#crypto #web3 #blockchain #finance #stocks
Forwarded from Web Development Resources TP
Free PHP Courses for Web Developer ๐จโ๐ป๐คฉ๐
1. Practical PHP: Master the Basics and Code Dynamic Websites
๐ https://www.udemy.com/course/code-dynamic-websites
2. Beginner PHP and MySQL Tutorial
๐ https://www.udemy.com/course/php-mysql-tutorial
3. PHP & MySQL course for absolute beginners | Become a PHP pro
๐ https://www.udemy.com/course/php-mysql-course-for-absolute-beginners
4. PHP For WordPress Development
๐ https://www.udemy.com/course/php-for-wordpress-development
5. PHP tutorial for beginners
๐ https://www.udemy.com/course/php-tutorial-for-beginners-j
6. Free Udemy Courses Here
๐ https://t.me/udemycoursecouponsfree
Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1. Practical PHP: Master the Basics and Code Dynamic Websites
๐ https://www.udemy.com/course/code-dynamic-websites
2. Beginner PHP and MySQL Tutorial
๐ https://www.udemy.com/course/php-mysql-tutorial
3. PHP & MySQL course for absolute beginners | Become a PHP pro
๐ https://www.udemy.com/course/php-mysql-course-for-absolute-beginners
4. PHP For WordPress Development
๐ https://www.udemy.com/course/php-for-wordpress-development
5. PHP tutorial for beginners
๐ https://www.udemy.com/course/php-tutorial-for-beginners-j
6. Free Udemy Courses Here
๐ https://t.me/udemycoursecouponsfree
Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
The 2020s could be the decade of billionaires, with a record number reaching 2,755 and a collective wealth of $13.1 trillion (approximately โฌ11 trillion). ๐๐ฐ
t.me/techpsyche
t.me/techpsyche
Forwarded from Web Development Resources TP
10 Must-Have Tools for Web Developers in 2025
โ Visual Studio Code โ The go-to lightweight and powerful code editor
โ Figma โ Design UI/UX prototypes and collaborate visually with your team
โ Chrome DevTools โ Inspect, debug, and optimize performance in real-time
โ GitHub โ Host your code, collaborate, and manage projects seamlessly
โ Postman โ Test and manage APIs like a pro
โ Tailwind CSS โ Build sleek, responsive UIs with utility-first classes
โ Vite โ Superfast front-end build tool and dev server
โ React Developer Tools โ Debug React components directly in your browser
โ ESLint + Prettier โ Keep your code clean, consistent, and error-free
โ Netlify โ Deploy your front-end apps in seconds with CI/CD integration
React if you're building cool stuff on the web!
9 Baby Steps to Learn Web Development: https://t.me/webdevresourcestp/74
Web Development Resources โฌ๏ธ
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
ENJOY LEARNING ๐๐
โ Visual Studio Code โ The go-to lightweight and powerful code editor
โ Figma โ Design UI/UX prototypes and collaborate visually with your team
โ Chrome DevTools โ Inspect, debug, and optimize performance in real-time
โ GitHub โ Host your code, collaborate, and manage projects seamlessly
โ Postman โ Test and manage APIs like a pro
โ Tailwind CSS โ Build sleek, responsive UIs with utility-first classes
โ Vite โ Superfast front-end build tool and dev server
โ React Developer Tools โ Debug React components directly in your browser
โ ESLint + Prettier โ Keep your code clean, consistent, and error-free
โ Netlify โ Deploy your front-end apps in seconds with CI/CD integration
React if you're building cool stuff on the web!
9 Baby Steps to Learn Web Development: https://t.me/webdevresourcestp/74
Web Development Resources โฌ๏ธ
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
ENJOY LEARNING ๐๐
Forwarded from Product Design Resources TP . UX Design . Graphic Design . Video Editing . 2D 3D Animation
๐จ Here are a few free AI-powered websites that offer photo editing capabilities:
1. Pixlr (https://pixlr.com/): Pixlr is a web-based photo editor that provides a range of AI-powered editing tools. It offers features like automatic background removal, retouching, filters, and more. You can upload your photos directly to the website and edit them using the available tools.
2. Fotor (https://www.fotor.com/): Fotor is an online photo editing platform that uses AI technology to enhance and manipulate images. It offers various editing features such as filters, retouching, collage making, and more. You can upload your photos or work with existing templates available on the website.
3. Photopea (https://www.photopea.com/): Photopea is a free online image editor that supports a wide range of file formats, including PSD (Photoshop) files. While it is not specifically AI-focused, it provides advanced editing tools and features similar to professional photo editing software.
4. BeFunky (https://www.befunky.com/): BeFunky is an online photo editor that offers a range of AI-powered tools for editing and enhancing images. It provides features such as automatic photo retouching, filters, graphic design templates, and more.
5. LunaPic (https://www.lunapic.com/): LunaPic is an online photo editing tool that offers various AI-based editing features. It includes options like AI-powered background removal, effects, filters, animations, and more.
UI vs UX: https://t.me/designresourcestp/60
The Future of UI/UX: https://t.me/designresourcestp/19
WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1. Pixlr (https://pixlr.com/): Pixlr is a web-based photo editor that provides a range of AI-powered editing tools. It offers features like automatic background removal, retouching, filters, and more. You can upload your photos directly to the website and edit them using the available tools.
2. Fotor (https://www.fotor.com/): Fotor is an online photo editing platform that uses AI technology to enhance and manipulate images. It offers various editing features such as filters, retouching, collage making, and more. You can upload your photos or work with existing templates available on the website.
3. Photopea (https://www.photopea.com/): Photopea is a free online image editor that supports a wide range of file formats, including PSD (Photoshop) files. While it is not specifically AI-focused, it provides advanced editing tools and features similar to professional photo editing software.
4. BeFunky (https://www.befunky.com/): BeFunky is an online photo editor that offers a range of AI-powered tools for editing and enhancing images. It provides features such as automatic photo retouching, filters, graphic design templates, and more.
5. LunaPic (https://www.lunapic.com/): LunaPic is an online photo editing tool that offers various AI-based editing features. It includes options like AI-powered background removal, effects, filters, animations, and more.
UI vs UX: https://t.me/designresourcestp/60
The Future of UI/UX: https://t.me/designresourcestp/19
WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
๐ค 12 AI tools to optimize your linkedin profile ...
10 Rules to upgrade your life:
1. Lift weights
2. Eat real foods
3. Face your fears
4. Positive self-talk
5. Never stop learning
6. Prioritize your sleep
7. Lower your screentime
8. Wake up with gratitude
9. Enjoy the present moment
10. Choose your circle carefully
Growth Tips๐
https://whatsapp.com/channel/0029VasaQtVGehEUFsVWAn3L
1. Lift weights
2. Eat real foods
3. Face your fears
4. Positive self-talk
5. Never stop learning
6. Prioritize your sleep
7. Lower your screentime
8. Wake up with gratitude
9. Enjoy the present moment
10. Choose your circle carefully
Growth Tips๐
https://whatsapp.com/channel/0029VasaQtVGehEUFsVWAn3L