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Python Resources and Learning Paths 🐍

Python Installation of Anaconda

Windows: Installation of Anaconda for Windows

YouTube Playlists for Basic Understanding of Python

Week 1 🌟

Day 0: Getting Started by Setting Up Anaconda Environment

Day 1: Learning the Basics of Python

Day 2: Overview of NumPy and Pandas

Day 3: Using Pandas for Data Cleaning and Transformations

Day 4: Data Visualization with Matplotlib, Seaborn, and Plotly

Day 5: Descriptive Statistics for Summarizing Data

Week 2 🌟

Day 1: Handling Data Issues

Day 2: Introduction to Machine Learning

  • What is Machine Learning and Common Problems Solved by ML: YouTube Video
  • Supervised and Unsupervised Learning: YouTube Video
  • Linear Algebra Refresher (optional): PDF

Day 3: Linear Regression Basics

Day 4: Linear Regression in Python

Day 5: Model Evaluation and Performance Metrics

Week 3 🌟

Day 1: Multiple Linear Regression

Day 2: Logistic Regression

Day 3: Decision Trees

Day 4: Random Forests

Day 5: Support Vector Machines (SVM)

Week 4 🌟

Day 1: K-Nearest Neighbors (KNN)

Day 2: K-Means Clustering

Day 3: Principal Component Analysis (PCA)

Day 4: Introduction to Neural Networks

Day 5: Deep Learning with TensorFlow and Keras

Week 5 🌟

Day 1: Convolutional Neural Networks (CNNs)

Day 2: Recurrent Neural Networks (RNNs)

Day 3: Long Short-Term Memory (LSTM) Networks

Day 4: Natural Language Processing (NLP)

Day 5: Time Series Analysis

Week 6 🌟

Day 1: Clustering with DBSCAN

Day 2: Anomaly Detection

Day 3: Transfer Learning

Day 4: Generative Adversarial Networks (GANs)

Day 5: Model Deployment

Extra Material