Discover aig3rim/100daysofdatascience Open Source project

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Created about 2 years ago
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aig3rim

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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 :-)

Predict_CLTV_with_linear_regression

Utilize linear regression to predict Customer Lifetime Value and develop positive ROI strategies

Jupyter Notebook

Anomaly_detection_using_ML

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

Jupyter Notebook

Customer_segmentation_Arvato

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

HTML

DevFest_Women_2022

This repo is for a workshop code for Dev Fest Women

Jupyter Notebook

Predict_next_month_transactions

Recency, Frequency, Monetary metrics to forecast customer behaviour with linear regression

Jupyter Notebook

Customer_segmentation

Create and analyze customer segments with k-means clustering

Jupyter Notebook

Predict_customer_churn_multilayer_perceptron

Predict customer churn using sequential neural network

Jupyter Notebook

data_visualization_with_altair

Create stunning visualization with Altair

Jupyter Notebook

grokking_algorithms

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

Jupyter Notebook

Exploring_weather_trends

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

practical-recommender-systems

Python

Interpret_random_forest_classifier_using_SHAP

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

Jupyter Notebook

aig3rim/100daysofdatascience

aig3rim

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