Machine Learning Foundation Course Notes

AI vs Machine Learning vs Deep Learning | AI vs ML vs DL

Where to Collect Data For Machine Learning? | Data Collection

Importing Datasets through Kaggle API

Handling Missing Values in Machine Learning | Imputation | Dropping

Data Standardization | Data Preprocessing | Machine Learning Course

Label Encoding | Data Pre-Processing | Machine Learning Course

Train Test Split | Splitting the dataset to Training and Testing data | Machine Learning Course

How to Handle imbalanced Dataset | Data Pre-Processing | Machine Learning Course

Feature extraction of Text data using Tfidf Vectorizer | Data Preprocessing | Machine Learning

Numerical Dataset Pre-Processing - Use Case | Machine Learning Course with Python

Machine Learning Foundation Quizes

Types of Machine Learning

Supervised Learning | Types of Supervised Learning | Machine Learning Tutorial

Unsupervised Learning | Clustering and Association Algorithms in Machine Learning

Diabetes Prediction using Machine Learning with Python | End To End Python ML Project

Fake News Prediction using Machine Learning with Python | Machine Learning Projects

Loan Status Prediction using Machine Learning with Python | Machine Learning Project

Credit Card Fraud Detection using Machine Learning in Python | Machine Learning Projects

House Price Prediction using Machine Learning with Python | Machine Learning Project

Car Price Prediction using Machine Learning with Python | Machine Learning Projects

Gold Price Prediction using Machine Learning with Python | Machine Learning Projects

Big Mart Sales Prediction using Machine Learning with Python | Machine Learning Projects

Customer Segmentation using K-Means Clustering with Python | Machine Learning Projects

Natural Language Processing (NLP) and Web Scraping for Data Collection

Text Classification & Named Entity Recognition (NER)

Introduction to Natural Language Processing | NLP

Types of Ambiguity | Natural Language

Phases of NLP | Natural Language Processing(NLP)

Applications of NLP | Natural Language

Challenges in NLP | Natural Language

NLP Pipeline part-1| Natural Language

NLP Pipeline Part-2 | Natural Language

Deep Learning for Computer Vision

But what is a neural network? | Deep learning chapter 1

Gradient descent, how neural networks learn | Deep Learning Chapter 2

Backpropagation, intuitively | Deep Learning Chapter 3

Backpropagation calculus | Deep Learning Chapter 4

Large Language Models explained briefly

Transformers, the tech behind LLMs | Deep Learning Chapter 5

Attention in transformers, step-by-step | Deep Learning Chapter 6

How might LLMs store facts | Deep Learning Chapter 7