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100-days-of-ml-code

100 Days of ML Coding

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

anand-s-cmd

aqi-project

bayesian-basics

:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

bbvi_spike_and_slab

Black-box spike and slab variational inference, example with linear models

bias_variance_example

This is a simple python example to demonstrate bias variance

boston-housing-prediction-linear-regression

Predicting Boston Housing Prices using Linear Regression

build_spam_filter

Machine learning Classification problem with easy understandable solutions

car_price_prediction

This repository contains notebooks for car price prediction using linear regression

cheat_sheets

Collection of cheat sheets which I will be using

chi-squared-feature-selection-selectkbest

Chi-Squared For Feature Selection using SelectKBest

complete-feature-engineering

credit-card-fraudlent

data-science--cheat-sheet

Cheat Sheets

data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

data-science-projects

A collection of Data Science projects in Jupyter Notebooks mainly using Python

data-science_private

data_science_delivered

Observations from Ian on successfully delivering data science products

dbscan-algorithm

deep_learning_

diabetes-prediction_solved

Solved Kaggle Diabetes-Prediction

dna-sequencing-classifier

dockers

eda1

employee_absenteeism

The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue which eventually leads toward the absence of an employee and provide a proper solution to reduce the absenteeism

fastbook

The fastai book, published as Jupyter Notebooks

feature-engineering

feature-selection-techniques

feature_selection_univariate

feature_selection using UNIVARIATE method for bank data