All my AI/ML/NLP related articles, tutorials and Kaggle kernel and notebooks details are available below. Source code is in python and datasets are mainly from Kaggle.

# Index

- Machine Learning Algorithms
- Neural Network
- Natural Language Processing
- Time Series Analysis
- Machine Learning Projects
- Other Articles

# Machine Learning Algorithms

This series is for absolute beginners. I have created a learning plan and tried to explain every concept from basics. Few tutorials also contain the end-to-end algorithms without using any library for better understanding and intuition. You will also learn to use **scikit-learn** a free software machine learning library at the end of this series.

- Introduction and Learning Plan
- Univariate Linear Regression From Scratch With Python
- Multivariate Linear Regression From Scratch With Python
- Univariate Linear Regression Using Scikit Learn
- Multivariate Linear Regression Using Scikit Learn
- One Hot Encoding
- Train Test Split
- Logistic Regression From Scratch With Python
- Binary Logistic Regression Using Sklearn
- Multiclass Logistic Regression Using Sklearn
- Underfitting & Overfitting
- Decision Tree
- Random Forest
- Support Vector Machines
- K-Means Clustering
- K Fold Cross Validation

# Neural Network

# Natural Language Processing

# Time Series Analysis

# Machine Learning Projects

- Multivariate Linear Regression Fish Weight Prediction
- Polynomial Linear Regression Fish Weight Prediction