30 WAYS TO MAKE PROGRESS

1. Wake up early
2. Read daily
3. Eat well
4. Love yourself
5. Judge less
6. Be yourself
7. Set goals
8. Plan your day
9. Positive attitude
10. Have purpose
11. Find inspiration
12. Help others
13. Network
14. Save money
15. Automate
16. Delegate
17. Track finances
18. Build a brand
19. Fail fast
20. Interact
21. Learn skills
22. Invest
23. Journal
24. Meditate
25. Get a mentor
26. Think Big
27. Be productive
28. Do more
29. Spend wisely
30. Be ambitious

Replace these 10 Habits: https://t.me/techpsyche/754

Exploring the Benefits of Non-Recourse Loans in Crypto

In finance, minimizing risk is key. Non-recourse loans offer a unique way to leverage assets while limiting risk exposure strictly to the collateral.

Picture this: John wants to invest in Ethereum without selling his Bitcoin holdings. He takes a non-recourse loan, using Bitcoin as collateral. If the investment goes south, the lender can only seize the Bitcoin—not John's other assets.

Non-recourse loans are especially useful in crypto and trading due to their:

- Collateralization: Use crypto as collateral to access funds without selling assets.
- Volatility Risk Management: Limit exposure to the collateral, even in volatile markets.
- Flexibility: Ideal for leveraging investments or meeting personal expenses.

Similar to margin trading in traditional finance, non-recourse loans allow you to boost buying power while controlling risk. However, these loans can carry challenges like margin calls or liquidation.

For those in crypto and trading, understanding non-recourse loans is essential for managing financial risk and seizing growth opportunities while safeguarding assets.

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

Remote QA Engineer Job at Elite Software Automation

Job Location: Remote(Anywhere)

Company Headquarters: United States

Starting Pay: USD $50-75K/year, Further pay promotions available based on performance once on the job

Apply Here:
https://kenyatrends.co.ke/nhax

Share with your friends🥳🥳

Follow Our WhatsApp Channel for More Jobs:
https://whatsapp.com/channel/0029VageofA3GJP3bu7Wyd37

Safe Superintelligence (SSI), the AI startup led by OpenAI’s co-founder and former chief scientist Ilya Sutskever, has raised an additional $2 billion in funding at a $32 billion valuation, according to the Financial Times.

The startup had already raised $1 billion, and there were reports that an additional $1 billion round was in the works.

Google for Startups Accelerator – Africa 2025

Applications are open for the Google for Startups Accelerator – Africa 2025. This is a three-month hybrid accelerator program for Seed to Series A technology startups.

Benefits:

- Equity-free support: For duration of program.
- Dedicated mentoring from Google teams.
- Access to Google’s network of industry experts.

Apply here:
https://kenyatrends.co.ke/ad4w

✅ Learn New Skills FREE 🔰

1. Web Development ➝
◀️ https://t.me/webdevresourcestp

2. CSS ➝
◀️ http://css-tricks.com

3. JavaScript ➝
◀️ https://t.me/javascriptresourcestp

4. React ➝
◀️ http://react-tutorial.app

5. Python for AI
◀️ https://deeplearning.ai/short-courses/ai-python-for-beginners/

6. Data Science & Data Engineering  ➝
◀️ https://t.me/datascienceresourcestp

7. Python ➝
◀️ http://pythontutorial.net

8. SQL ➝
◀️  https://t.me/sqlresourcestp

9. Git and GitHub ➝
◀️ http://GitFluence.com

10. Backend Development
◀️ https://udacity.com/course/intro-to-backend--ud171

11. Mongo DB ➝
◀️ http://mongodb.com

12. Node JS ➝
◀️ http://nodejsera.com

13. Data Structure & Algorithms
◀️ https://t.me/techpsyche

14. C#➝
◀️ https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/

15. Machine Learning➝
◀️ https://t.me/mlresourcestp

16. Android & iOS Development➝
◀️ https://t.me/mobiledevresourcestp

17. Java
◀️ https://t.me/javaresourcestp

18. Product Design
◀️ https://t.me/designresourcestp

Like for more ❤️

ENJOY LEARNING👍👍

Join Our WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Java Developer Roadmap

10 free tools to become top level creator.

1. Idea - Google
2. Research - ChatGPT
3. Script - Notion
4. Recoding - Audacity
5. Thumbnail - Canva
6. Editing - Davinci resolve
7. Stock Video - Mixkit
8. Captions - Clipchamp
9. Music & effect - YT Library
10. Scheduling - Buffer

13 AI Tools to 10X your Productivity: https://t.me/airesourcestp/94

10 AI Tools to save you Hours: https://t.me/airesourcestp/102

40 Content Creation Tools: https://t.me/airesourcestp/109

ENJOY LEARNING 👍👍

More Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

AI Tools

Master AI Theory (Artificial Intelligence) in 10 days 👇👇

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 👍👍

More Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Types Of Technical Analysis

#crypto #web3 #blockchain #finance #stocks

What is funding in crypto trading? 💸

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 ​​perpetual 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 Courses👇👇
https://tinyurl.com/326exaw7

Like if it helps 😄

Find More Tips & Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

𝐍𝐕𝐈𝐃𝐈𝐀 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🚀💻

Transform your skills with these cutting-edge courses by NVIDIA.

Check out the following NVIDIA FREE AI Certification Courses

𝐋𝐢𝐧𝐤👇:- 

https://tinyurl.com/5hessh3t

Enroll For FREE & Get Certified 🎓

Complete Data Science Roadmap 👇👇

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 👇👇

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 ❤️

ENJOY LEARNING👍👍
Join Our WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Struggling with Machine Learning algorithms? 🤖

Then you better stay with me! 🤓

We are going back to the basics to simplify ML algorithms.
... today's turn is Logistic Regression! 👇🏻

1️⃣ 𝗟𝗢𝗚𝗜𝗦𝗧𝗜𝗖 𝗥𝗘𝗚𝗥𝗘𝗦𝗦𝗜𝗢𝗡
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.

2️⃣ 𝗛𝗢𝗪 𝗧𝗢 𝗖𝗢𝗠𝗣𝗨𝗧𝗘 𝗜𝗧?
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.

3️⃣ 𝗛𝗢𝗪 𝗧𝗢 𝗗𝗘𝗙𝗜𝗡𝗘 𝗧𝗛𝗘 𝗕𝗘𝗦𝗧 𝗙𝗜𝗧?
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! 😉)

✚ 𝗕𝗢𝗡𝗨𝗦 - 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

Websites to Practice Your Coding Skills🔥

📌 LeetCode
📌 HackerRank
📌 Topcoder
📌 CodeChef
📌 CodeWars
📌 Exercism
📌 Edabit
📌 Codingame
📌 CodeForces
📌 HackerEarth
📌 CodeSignal
📌 CoderByte
📌 SPOJ
📌 ProjectEuler

16 Websites to Learn Programming: https://t.me/techpsyche/634

Calendar in Python

"How AI Leaders Unlock Business Value 💡🚀"

AI isn’t just hype—it’s 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?

💡 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