Machine Learning with Python

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⌨️ Top 12 YouTube Channels to Learn Python 👨🏻‍💻 Python will include 57% of data scientist job ads in 2024 . It is still the number one programming language for data scientists. ✅ Now, if you are looking for the best resources to improve your Python skills, after searching and reviewing various resources, I have prepared a list of 12 top channels that provide first-class Python training, which can turn beginners into professional Python programmers. convert 🎬 Python Programmer channel ┤ 📈 211 videos / 465K SUB ┘ 🔴 Link: Python Programmer 🎬 Luke Barousse channel ┤ 📈 157 videos / 429K SUB ┘ 🔴 Link: Luke Barousse 🎬 codebasics channel ┤ 📈 837 videos / 990K SUB ┘ 🔴 link: codebasics 🎬 StatQuest channel with Josh Starmer ┤ 📈 271 videos / 1.14M SUB ┘ 🔴 Link: StatQuest with Josh Starmer 🎬 Sundas Khalid channel ┤ 📈 143 videos / 203K SUB ┘ 🔴 Link: Sundas Khalid 🎬 Shashank Kalanithi channel ┤ 📈 152 videos / 148K SUB ┘ 🔴 Link: Shashank Kalanithi 🎬 Programming with Mosh channel ┤ 📈 203 videos / 3.85M SUB ┘ 🔴 Link: Programming with Mosh 🎬 Corey Schafer channel ┤ 📈 233 videos / 129K SUB ┘ 🔴 Link: Corey Schafer 🎬 sentdex channel ┤ 📈 1254 videos / 1.3M SUB ┘ 🔴 link: sentdex 🎬 Patrick Loeber channel ┤ 📈 206 videos / 264K SUB ┘ 🔴 Link: Patrick Loeber 🎬 Socratica channel ┤ 📈 659 videos / 876K SUB ┘ 🔴 Link: Socratica 🎬 Tech With Tim channel ┤ 📈 983 videos / 1.48M SUB ┘ 🔴 Link: Tech With Tim

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☄️ list of top 50 data science cheat sheets ☄️ From the day I started summarizing data science topics on LinkedIn, I decided to summarize each topic in a few pages. I finally came up with a list of 50 cheat sheets from various areas of data science. This list covers pretty much everything a data person might need, from how to plot with Matplotlib to using ChatGPT. 👍 Python: link 👍 Pandas library: link 👍 NumPy library: link 👍 Matplotlib library: link 👍 seaborn library: link 👍 scikit-learn library: link 👍 TensorFlow library: link 👍 Keras library: link 👍 PyTorch framework: link 👍 SQL language: link 👍 GeoPandas project: link 👍 Git version control system: link 👍 AWS cloud platform: link 👍 Azure cloud platform: link 👍 Google Cloud Platform cloud computing: link 👍 Docker platform: link 👍 Kubernetes platform: link 👍 The Linux Command Line training: link 👍 Jupyter notebook: link 👍 Data preparation: link 👍 Data Visualization: Link 👍 Statistical inference: link 👍 possibility: link 👍 Linear Algebra: Link 👍 Differential calculation: link 👍 Time series: link 👍 Natural language processing: link 👍 Neural network: link 👍 Deep Learning: Link 👍 Machine learning: link 👍 Apache Spark Framework: Link 👍 Apache Hadoop framework: link 👍 Big O Notation tool: link 👍 Regular Expression training: link 👍 Unix / Linux Permissions training: link 👍 Python String Formatting tutorial: link 👍 Flask framework: link 👍 Django framework: link 👍 plotly library: link 👍 PostgreSQL database: link 👍 MySQL database: link 👍 MongoDB database: link 👍 TensorFlow Probability library: link 👍 Chatbot GPT-3: link 👍 Training GPT-3 API Reference: link 👍 SciPy library: link 👍 ChatGPT chatbot: link 👍 Training Colors in Data Viz: link 👍 Geospatial DS in Python training: link 😠 More likes 😠 ➡️ more posts ✈️ http://t.me/codeprogrammer ✅

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Python53

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