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100daysofdatascience

This repository is created to track a progress of a challenge #100daysofdatascience. I am taking the challenge to improve my skills and be a better data scientist :-)

ab_test_analysis

Understanding results of A/B test run by e-commerce website using p-value calculations, z-core test, logistic and multiple linear regressions and bootstrapping sampling distribution

ab_testing_two_sample_proportions_test

This repository is for a blog post on two samples proportion A/B testing using a case from marketing

aig3rim

aig3rim.github.io

analyzing_reviews_nlp

anomaly_detection_using_ml

Price anomaly detection for time series using K-means clustering, Isolation Forest, One Class SVM and Gaussian Distribution

churn_prediction_using_logistic_regression

Predicting customer churn with logistic regression by applying Synthetic Minority Oversampling Technique and Recursive Feature Elimination

cohort_analysis

Using UCI online retail data set, I demonstrate how to conduct cohort analysis in Python

communicate_data_findings

Exploratory and explanatory data analysis of public bike sharing system Bay Wheels

coursera-machine-learning-stanford

Machine learning-Stanford University

customer_segmentation

Create and analyze customer segments with k-means clustering

customer_segmentation_arvato

k-means clustering, XGBClassifier and Gradient Boosting for customer segmentation and acquisition

data_science_bookcamp_book

Code from Data Science Bookcamp book

data_structures_and_algorithms_udacity

This repository is for projects done for a Udacity nanodegree on Data Structures & Algorithms

data_visualization_for_me

My personal cheat sheet for data visualization

data_visualization_with_altair

Create stunning visualization with Altair

data_wrangling

Data wrangling of WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations

devfest_women_2022

This repo is for a workshop code for Dev Fest Women

dimensionality_reduction

A repository for a new blog post about dimensionality reduction techniques

disaster_response_pipeline

ML pipeline to categorize emergency messages using NLTK and visualize the results with Flask

eda_time_series

New blog post on EDA for time series data

exploring_dataset

Exploring capabilities of Python packages such as numpy, pandas, matplotlib using data from Gapminder

exploring_weather_trends

Global temperature and temperature data of Tokyo were compared and analyzed using Excel and SQL

grokking_algorithms

This repo is for practicing code from a book Grokking Algorithms by Aditya Bhargava

hierarchical_clustering

A new repo for a blog post I'm working on

interpreatable_ml_with_python_book

This repo is for practising the code given in the book

interpret_random_forest_classifier_using_shap

Random Forest classifier and SHAP: How to understand your customers and interpret a black box model?

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

introduction_to_ml_with_python_book

Practicing code from the book