Best courses to learn Data Science in 2023: -- ALL FREE -- ❯ Python [ Harvard ] https://t.co/qZHlKbxjJQ ❯ SQL [ Stanford ] https://t.co/AjpOJyci86 ❯ R...

10 pandas (python) functions I used the most as a Data Analyst:

🐍 Python for Data Science Complete Study Plan 🐍 Timeline of 12 weeks and you have to dedicate at least 7 hours a week. πŸ—“οΈWeek 1-2: Python Basics and Data Structures Resource: Y...

130+ technical indicators. 60+ candlestick patterns. All integrated in pandas. All for free: https://t.co/dF6F6LN75y

If you want to learn Data Science & ML from first principles, this platform is an absolute goldmine! Highly engaging interactive learning material on: - Python - Data Science - M...

The most in-demand Data Analyst skill: Python Learning it opens many data doors. But knowing where to start holds many back. Here's a thread of resources that makes it simple a...

Data Analysis Projects for beginners with source code in PythonπŸ”₯ Part 2 A threadπŸ§΅πŸ‘‡

Data Analysis Projects for beginners with source code in Python:πŸ”₯ Part 1 A threadπŸ§΅πŸ‘‡

Extract Text from PDF in Python πŸ“’ We can extract text from a PDF file with just a few lines of code βœ… Find source code πŸ‘‡ https://t.co/J4fa01uGZ0

K-Means++ from scratch using Python πŸ”₯ K-Means++ has a smarter way to initialise cluster centroids & is much more robust than K-Means βœ”οΈ -- step by step explanation with code --...

Become a data wrangling pro! πŸ”₯ Eight Pandas operations that get 99% of your job done! πŸš€ -- explained with code snippets -- A Thread πŸ§΅πŸ‘‡ https://t.co/iwHVQDlR44

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ChatGPT prompts for Python time series analysis

How to turn an ML notebook into a real-world ML app? (using only Python and MLOps) πŸ§΅β†“β†“β†“

The most popular part of trading: Backtesting. But most beginners get backtesting wrong. How to get up and running with the most popular Python backtesting libraryβ€”Backtrader....

*8 Data Analysis Projects for beginners that will transform your Portfolio and your Resume.* *With source code in Python 🐍*

4 hacks to get started with Python β€’ Work on things you can use in real life β€’ Find a support group to give you help β€’ Build in Public to stay accountable β€’ Write a little bit of...

8 Data Analysis Projects for beginners that will transform your Portfolio and your Resume. With source code in Python😲

Time series are made up of level, trend, seasonality, and noise. If your forecast is broken, it may be time to take a new approach. Decomposing time series into those parts can h...

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K-Means from scratch using Python πŸ”₯ K-Means is an unsupervised ML technique used to cluster data when the number of clusters are known. -- step by step explanation with code --...

Not all risk is created equal. Upside volatility is a benefit. Downside volatility costs you money. The Sortino ratio captures the volatility of downside returns. Here’s how to...

7 powerful machine learning techniques everyone should know (with links to Python code):

The inverted yield curve is a reliable predictor of a recession. And it’s inverted now. Use Python to visualize the yield curve over time: https://t.co/2s59mKPtMG