2020-07-07 Glass Classification In this notebook i used SVM for classification glass type. glass classification data science machine learning classification python

2020-06-19 Reading An Image In Python (Without Using Special Libraries) This notebook gives you an insight on how to read an image in python without any special libraries such as OpenCV, PIL, Matplotlib except Numpy. image image processing programming python

2020-06-07 Three-Layer Network on MNIST Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling or clustering raw input. mnist neural networks python deep learning numpy

2020-05-27 Zomato Restaurants Analysis - JMA This notebook gives visualization and insight into the food culture of Bengaluru. random forest decision tree sklearn regression python

2020-05-27 Web Scraping Live COVID -19 Data - JMA This notebook gives visualization and insight to the Covid Data. python

2020-05-24 Simple TPOT: Digits Dataset - JMA 98.2% Accuracy TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. tpot python

2020-05-24 TPOT - Python - MAGIC: JMA - 106 TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. tpot python

2020-04-13 Inferential Statistics - Supermarket Sales - JMA This notebook is intended to introduce some of the concepts of Inferential Statistics. statistics python

2020-04-07 Introduction to Descriptive Statistics In this Notebook, I have tried to Introduce the Concepts of Descriptive Statistics which helps us to describe the data to be used for any Purpose. statistics descriptive statistics data science python

2020-04-07 A quick look into LSA In this notebook, I have introduced and worked on explaining Latent Semantic Analysis on simple data. text analytics lsa python nlp

2020-04-06 TPOT Titanic TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. tpot genetic programming python

2020-04-05 Linear Algebra in Python Linear algebra is the branch of mathematics concerning linear equations and their representations in vector spaces and through matrices. Linear algebra is central to almost all areas of mathematics. algebra python

2020-04-05 Seaborn 2.0 Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. python seaborn

2020-04-05 Plotly Masterclass Plotly's Python graphing library makes interactive, publication-quality graphs. plotly python

2020-04-05 Holoviews Masterclass HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple. holoviews python

2020-04-04 The Perceptron Toy Model A Perceptron is an algorithm for supervised learning of binary classifiers. This algorithm enables neurons to learn and processes elements in the training set one at a time. There are two types of Perceptrons: Single layer and Multilayer. perceptron python

2020-04-04 Simple XGBoost Example in Python Gradient boosting is a machine learning technique for regression and classification problems, which produces a prediction model in the form of an ensemble of weak prediction models, typically decision trees. python xgboost

2020-04-03 House Prices - Complete Guide This is a Kaggle competition notebook about the Boston House Sales. The goal is to predict sales prices and practice feature engineering, RFs, and gradient boosting. machine learning housing regression python tutorial

2020-04-03 Titanic - Voting Classifier in Python This is a Kaggle competition about Titanic data. The goal is to predict if a person will survive or not. machine learning classification python kaggle analysis