tanmay-kalbande Goto Github PK

customer-segmentation

Customer segmentation is a crucial task in marketing that involves dividing a customer base into distinct groups or segments based on their shared characteristics and behaviors.

demo

employee_performance_analysis

This project analyzes employee performance data, identifies influential factors, and builds a predictive model to anticipate performance ratings.

expense-tracker

A simple and intuitive app for tracking and managing your expenses.

goal-tracker

Track and visualize your progress towards any goal with this simple daily tracker web app.

handwritten-digits-recognition

Handwritten digit CNN model for MNIST classification with 99%+ test accuracy. 2 conv layers with max pooling/dropout, fully connected layer with dropout, and softmax output. Trained on MNIST using categorical crossentropy loss and Adam optimizer.

lead-quality-prediction

Machine learning project to identify high potential leads for sales prioritization. Models trained include Logistic Regression, Decision Tree, Random Forest, SVM, Neural Nets, Naive Bayes, KNN, XGBoost. Random Forest achieves best accuracy of 77%.

movie-recommendation-system

Built a movie recommendation system using Python and the MovieLens dataset. Implemented collaborative filtering algorithms to suggest movies based on user preferences.

numpy-functions

NumPy is a widely-used open-source Python package for numerical computing. In this Repository i have given all the important Functions that will be needed in Data Science

podcast_webpage

"The Scam Master" podcast website exposes fraudsters' tricks and teaches how to outsmart them.

table-extractor-app

Table Extractor - A Flask web application for extracting tables from any webpage URL, utilizing BeautifulSoup for web scraping and DataTables for efficient table display.

tanmay-kalbande

tanmay-kalbande.github.io

A minimalist in data science portfolio.