An open API service indexing awesome lists of open source software.

https://github.com/anuj0918/machine-learning-algorithm

About This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML .
https://github.com/anuj0918/machine-learning-algorithm

data-science linear-regression machine-learning python

Last synced: 2 months ago
JSON representation

About This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML .

Awesome Lists containing this project

README

          

#Machine Learning

1️⃣ Basic
✅Types of ML
✅Challenges in ML
✅Overfitting and Underfitting
🔴Testing and Validation
🔴Cross Validation
🔴Grid Search
🔴Random Search
🔴Confusion Matrix
🔴Precision, Recall ], F1 Score
🔴ROC-AUC Curve

🔥 Machine-Learning
1️⃣ K- Nearest Neighbour:-
- Theory
- Implementation

2️⃣ Linear Regression
- What is Linear Regression
- What is gradient descent


3️⃣ Logistic Regression
- Hypothesis function
- Log Loss
- Proof of Log loss by MLE
- Gradient Descent Update rule for Logistic Regression
- Gradient Descent Implementation of Logistic Regression
🔴Multiclass Classification
- Sk-Learn Implementation of Logistic Regression on chemical classification dataset.


5️⃣ Naive Bayes
- Bayes Theorem Formula
- Bayes Theorem - Spam or not
- Bayes Theorem - Disease or not
- Mushroom Classification
- Text Classification
🔴 Project on Naive Bayes

6️⃣ Decision Tree
- Entropy
- Information Gain
- Process Kaggle Titanic Dataset
- Implementation of Information Gain
- Implementation of Decision Tree
- Making Predictions
- Decision Trees using Sci-kit Learn