🧠 Face Recognition with Machine Learning + Deploy Flask App

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📖 Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy

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🔰 The Complete React Native + Hooks Course

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📖 Understand React Native with Hooks, Context, and React Navigation.

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📖 30 days roadmap to learn Python for Data Analysis 😄👇

Days 1-5: Introduction to Python
1. Day 1: Install Python and a code editor (e.g., Anaconda, Jupyter Notebook).
2. Day 2-5: Learn Python basics (variables, data types, and basic operations).

Days 6-10: Control Flow and Functions
6. Day 6-8: Study control flow (if statements, loops).
9. Day 9-10: Learn about functions and modules in Python.

Days 11-15: Data Structures
11. Day 11-12: Explore lists, tuples, and dictionaries.
13. Day 13-15: Study sets and string manipulation.

Days 16-20: Libraries for Data Analysis
16. Day 16-17: Get familiar with NumPy for numerical operations.
18. Day 18-19: Dive into Pandas for data manipulation.
20. Day 20: Basic data visualization with Matplotlib.

Days 21-25: Data Cleaning and Analysis
21. Day 21-22: Data cleaning and preprocessing using Pandas.
23. Day 23-25: Exploratory data analysis (EDA) techniques.

Days 26-30: Advanced Topics
26. Day 26-27: Introduction to data visualization with Seaborn.
27. Day 28-29: Introduction to machine learning with Scikit-Learn.
30. Day 30: Create a small data analysis project.

Use platforms like Kaggle to find datasets for projects & GeekforGeeks to practice coding problems.

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📖 The Complete SQL Bootcamp: Go from Zero to Hero

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🔰 PHP with MySQL: Build Amazing Streaming Service

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📖 Build Fancy Streaming Service with Admin Panel in PHP MySQL Bootstrap and PDO

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🔅 More Python Tips, Tricks, and Techniques for Data Science

🌐 Author: Harshit Tyagi
🔰 Level: Intermediate

⏰ Duration: 2h 15m

🌀 Deliver valuable insights to your users with Python. Get practical tips and techniques that can help you enhance your Python data science workflow.

📗 Topics: Data Science, Python

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📱Data Analysis and Databases
📱More Python Tips, Tricks, and Techniques for Data Science

🛜 Nmap For Penetration Testing: Beginner To Advanced

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📖 Master network mapping, scanning and enumeration with Nmap.

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🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME

🌐 Author: Keith McCormick
🔰 Level: Advanced

⏰ Duration: 1h 33m

🌀 Learn to go beyond the basic decision tree algorithms in KNIME by accessing WEKA, R, and Python-based decision tree and rule induction algorithms from within the KNIME platform.

📗 Topics: Decision Trees, Knime, Machine Learning

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🔅 Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python

🌐 Author: Gwendolyn Stripling
🔰 Level: Intermediate

⏰ Duration: 1h 56m

🌀 Learn the knowledge and practical skills needed to effectively utilize deep learning techniques using the Python programming language.

📗 Topics: Generative AI, Deep Learning, Python

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🔅 Advanced NLP with Python for Machine Learning

🌐 Author: Gwendolyn Stripling
🔰 Level: Advanced

⏰ Duration: 1h 26m

🌀 Build upon your foundational knowledge of natural language processing by exploring more complex topics.

📗 Topics: Natural Language Processing, Machine Learning, Python

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