Complete Data Science Roadmap ππ
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 ππ
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 β€οΈ
ENJOY LEARNINGππ
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 ππ
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 β€οΈ
ENJOY LEARNINGππ
Join Our WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Machine Learning Resources TP
Struggling with Machine Learning algorithms? π€
Then you better stay with me! π€
We are going back to the basics to simplify ML algorithms.
... today's turn is Logistic Regression! ππ»
1οΈβ£ ππ’πππ¦π§ππ π₯πππ₯ππ¦π¦ππ’π‘
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.
2οΈβ£ ππ’πͺ π§π’ ππ’π π£π¨π§π ππ§?
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.
3οΈβ£ ππ’πͺ π§π’ πππππ‘π π§ππ πππ¦π§ πππ§?
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! π)
β ππ’π‘π¨π¦ - 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! π€
We are going back to the basics to simplify ML algorithms.
... today's turn is Logistic Regression! ππ»
1οΈβ£ ππ’πππ¦π§ππ π₯πππ₯ππ¦π¦ππ’π‘
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.
2οΈβ£ ππ’πͺ π§π’ ππ’π π£π¨π§π ππ§?
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.
3οΈβ£ ππ’πͺ π§π’ πππππ‘π π§ππ πππ¦π§ πππ§?
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! π)
β ππ’π‘π¨π¦ - 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
π1
Websites to Practice Your Coding Skillsπ₯
π LeetCode
π HackerRank
π Topcoder
π CodeChef
π CodeWars
π Exercism
π Edabit
π Codingame
π CodeForces
π HackerEarth
π CodeSignal
π CoderByte
π SPOJ
π ProjectEuler
16 Websites to Learn Programming: https://t.me/techpsyche/634
π LeetCode
π HackerRank
π Topcoder
π CodeChef
π CodeWars
π Exercism
π Edabit
π Codingame
π CodeForces
π HackerEarth
π CodeSignal
π CoderByte
π SPOJ
π ProjectEuler
16 Websites to Learn Programming: https://t.me/techpsyche/634
"How AI Leaders Unlock Business Value π‘π"
AI isnβt just hypeβitβs 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?
π‘ They focus on automation, innovation, and data-driven strategies. Meanwhile, companies lagging behind see less impact.
t.me/airesourcestp
AI isnβt just hypeβitβs 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?
π‘ 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 π¨βπ»π€©π
1. Practical PHP: Master the Basics and Code Dynamic Websites
π https://www.udemy.com/course/code-dynamic-websites
2. Beginner PHP and MySQL Tutorial
π https://www.udemy.com/course/php-mysql-tutorial
3. PHP & MySQL course for absolute beginners | Become a PHP pro
π https://www.udemy.com/course/php-mysql-course-for-absolute-beginners
4. PHP For WordPress Development
π https://www.udemy.com/course/php-for-wordpress-development
5. PHP tutorial for beginners
π https://www.udemy.com/course/php-tutorial-for-beginners-j
6. Free Udemy Courses Here
π 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
π https://www.udemy.com/course/code-dynamic-websites
2. Beginner PHP and MySQL Tutorial
π https://www.udemy.com/course/php-mysql-tutorial
3. PHP & MySQL course for absolute beginners | Become a PHP pro
π https://www.udemy.com/course/php-mysql-course-for-absolute-beginners
4. PHP For WordPress Development
π https://www.udemy.com/course/php-for-wordpress-development
5. PHP tutorial for beginners
π https://www.udemy.com/course/php-tutorial-for-beginners-j
6. Free Udemy Courses Here
π 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 β¬11 trillion). ππ°
t.me/techpsyche
t.me/techpsyche
Forwarded from Web Development Resources TP
10 Must-Have Tools for Web Developers in 2025
β Visual Studio Code β The go-to lightweight and powerful code editor
β Figma β Design UI/UX prototypes and collaborate visually with your team
β Chrome DevTools β Inspect, debug, and optimize performance in real-time
β GitHub β Host your code, collaborate, and manage projects seamlessly
β Postman β Test and manage APIs like a pro
β Tailwind CSS β Build sleek, responsive UIs with utility-first classes
β Vite β Superfast front-end build tool and dev server
β React Developer Tools β Debug React components directly in your browser
β ESLint + Prettier β Keep your code clean, consistent, and error-free
β Netlify β 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 β¬οΈ
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
ENJOY LEARNING ππ
β Visual Studio Code β The go-to lightweight and powerful code editor
β Figma β Design UI/UX prototypes and collaborate visually with your team
β Chrome DevTools β Inspect, debug, and optimize performance in real-time
β GitHub β Host your code, collaborate, and manage projects seamlessly
β Postman β Test and manage APIs like a pro
β Tailwind CSS β Build sleek, responsive UIs with utility-first classes
β Vite β Superfast front-end build tool and dev server
β React Developer Tools β Debug React components directly in your browser
β ESLint + Prettier β Keep your code clean, consistent, and error-free
β Netlify β 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 β¬οΈ
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
ENJOY LEARNING ππ
Forwarded from Product Design Resources TP . UX Design . Graphic Design . Video Editing . 2D 3D Animation
π¨ 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
π€ 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 Tipsπ
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 Tipsπ
https://whatsapp.com/channel/0029VasaQtVGehEUFsVWAn3L
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
Forget Midjourney, It costs $8/M to use
Here are 5 alternatives to you use
1. Bing Image Creator :
Simply type your ideas into Bing which will create one-of-a-kind images from text.
Platforms: Web, Android, iOS
2. Lexica
It acts as a search engine for Stable Diffusion-generated images.
Features:
- Generate 100 images per month for free.
- Effortless to use
Platform: Web
3. Stable Diffusion
It is a free and open-source model.
- Powerful capabilities
- Trained on large dataset
Platforms: Web
4. Adobe Firefly
- In-house text-to-image model by Adobe.
- Has promising features like image expansion and sketch-to-image.
- π― Free
Platforms: Web
5. Playground AI
- Generate 1000 images per day for free.
- Stable Diffusion and DALLΒ·E are available.
Platforms: Web
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 ππ
More Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Here are 5 alternatives to you use
1. Bing Image Creator :
Simply type your ideas into Bing which will create one-of-a-kind images from text.
Platforms: Web, Android, iOS
2. Lexica
It acts as a search engine for Stable Diffusion-generated images.
Features:
- Generate 100 images per month for free.
- Effortless to use
Platform: Web
3. Stable Diffusion
It is a free and open-source model.
- Powerful capabilities
- Trained on large dataset
Platforms: Web
4. Adobe Firefly
- In-house text-to-image model by Adobe.
- Has promising features like image expansion and sketch-to-image.
- π― Free
Platforms: Web
5. Playground AI
- Generate 1000 images per day for free.
- Stable Diffusion and DALLΒ·E are available.
Platforms: Web
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 ππ
More Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
Nowadays there are many Job postings online. Some are real, some will just waste your time with an email that doesn't even exist. But those posting have their own goals.
When applying for Jobs that require you to send application on email, use this tool to check if the email exists.
https://tools.emailhippo.com/
OK means it exists. Bad means it doesn't exist
Don't waste time on fake jobs!π₯²
More Tips:
t.me/techpsyche
When applying for Jobs that require you to send application on email, use this tool to check if the email exists.
https://tools.emailhippo.com/
OK means it exists. Bad means it doesn't exist
Don't waste time on fake jobs!π₯²
More Tips:
t.me/techpsyche
Types of stablecoins
Today, weβll tell you about the three main categories of stablecoins.
βͺοΈ Stablecoins backed by fiat currencies
These coins are backed by real-life assets, fiat money, or paper money. Two examples of this stablecoin are Tether (USDT) and USD Coin (USDC). The companies issuing these coins own large reserves to support every issued coin; however, Tether has come under intense scrutiny in the past for this specific issue.
βͺοΈ Stablecoins backed by cryptocurrencies
Some projects are so bold that theyβre willing to back their stablecoin with other cryptocurrencies (not real assets or money). For example, a crypto-backed stablecoin with a value of $1 could be supported by a crypto asset worth $2. The logic here is that if the underlying assetβs value were to drop, the stablecoin would still be able to maintain its dollar peg.
The most famous crypto-backed stablecoin is Dai (DAI).
βͺοΈ Algorithmic stablecoins
Algorithmic stablecoins are not backed by assets or fiat currencies, which makes it difficult to understand why or how theyβre stablecoins in the first place. As their name indicates, the value of these coins is controlled by computer algorithms. If the stablecoinβs value is pegged to $1 but rises above $1, the code will automatically mint and release more coins into circulation to lower the stablecoinβs value back to $1. Conversely, if the value drops below $1, the algorithm will removeβor burnβcoins from circulation to lift the value back up to $1. The amount of coins you hold will change, but theyβll always reflect the value you own.
Please note: Stablecoins are not dollarsβtheyβre cryptocurrencies. Even when dealing with stablecoins, investing in crypto carries inherent risksβcase in point the collapse of Terraβs algorithmic stablecoin TerraUSD.
Non-Recourse Loans in Crypto: https://t.me/techpsyche/756
Funding in Crypto Trading: https://t.me/techpsyche/766
Choosing the right Exchange: https://t.me/techpsyche/774
More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
#crypto #web3 #blockchain #finance #stocks
Today, weβll tell you about the three main categories of stablecoins.
βͺοΈ Stablecoins backed by fiat currencies
These coins are backed by real-life assets, fiat money, or paper money. Two examples of this stablecoin are Tether (USDT) and USD Coin (USDC). The companies issuing these coins own large reserves to support every issued coin; however, Tether has come under intense scrutiny in the past for this specific issue.
βͺοΈ Stablecoins backed by cryptocurrencies
Some projects are so bold that theyβre willing to back their stablecoin with other cryptocurrencies (not real assets or money). For example, a crypto-backed stablecoin with a value of $1 could be supported by a crypto asset worth $2. The logic here is that if the underlying assetβs value were to drop, the stablecoin would still be able to maintain its dollar peg.
The most famous crypto-backed stablecoin is Dai (DAI).
βͺοΈ Algorithmic stablecoins
Algorithmic stablecoins are not backed by assets or fiat currencies, which makes it difficult to understand why or how theyβre stablecoins in the first place. As their name indicates, the value of these coins is controlled by computer algorithms. If the stablecoinβs value is pegged to $1 but rises above $1, the code will automatically mint and release more coins into circulation to lower the stablecoinβs value back to $1. Conversely, if the value drops below $1, the algorithm will removeβor burnβcoins from circulation to lift the value back up to $1. The amount of coins you hold will change, but theyβll always reflect the value you own.
Please note: Stablecoins are not dollarsβtheyβre cryptocurrencies. Even when dealing with stablecoins, investing in crypto carries inherent risksβcase in point the collapse of Terraβs algorithmic stablecoin TerraUSD.
Non-Recourse Loans in Crypto: https://t.me/techpsyche/756
Funding in Crypto Trading: https://t.me/techpsyche/766
Choosing the right Exchange: https://t.me/techpsyche/774
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