board_infinity_project

customer_segmentation_for_churn_kmeans

Customer Segmentation using Kmeans, than used Random Forest for prediction about new customers

customerchurnendtoendproject

Churn Analysis of Telecom company,Through meticulous data analysis and predictive modeling, we uncover patterns, trends, and potential churn triggers, empowering telecom companies to proactively mitigate customer attrition. Our mission is to equip industry stakeholders with actionable intelligence, enabling them to optimize retention strategies.

data-science-hackathon-and-competition

Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI

data_analysis_using_python

Data analysis using python

data_visualization_using_python

This project is an exploratory data analysis (EDA) of a dataset containing information on Google Play Store apps. The dataset includes various features such as the app's category, rating, number of reviews, size, number of installs, type (free or paid), price, content rating, genres, last updated date, current version, and required Android version.

kmean-and-elbow-plot

Clustering With K Means - Python Tutorial

linear-regression-multiple-variables

Linear Regression Multiple Variables : Sample problem of predicting home price in monroe, new jersey

machine-learning-projects

This repository contains mini projects in machine learning with notebook files

missneerajsharma

Config files for my GitHub profile.

missneerajsharma-google-advanced-data-analytics-professional-certificate

Welcome to the GitHub repository for my Google Advanced Data Analytics Professional Certificate journey!

movie-recommender-system

Movie Recommender System: Content-Based Filtering on IMDB Dataset (Natural Language Processing Project(NLP)

neerajsharma.github.io

neerajsharmabsdu

Config files for my GitHub profile.

open-cv

This project showcases a face detection application using OpenCV's Haar Cascade classifier. The primary objective is to detect frontal faces in images and videos. The Haar Cascade classifier, specifically the haarcascade_frontalface_default.xml, is employed to perform this task.

principal-component-analysis-pca-

Principal Component Analysis, or PCA, is a dimensionality-reduction method that is often used to reduce the dimensionality of large data sets, by transforming a large set of variables into a smaller one that still contains most of the information in the large set.

supervisedmachinelearning

The motivation behind this project is to provide valuable insights into the complex factors influencing vehicle fuel economy. By understanding these factors, consumers can make informed decisions when purchasing vehicles, policymakers can develop effective regulations to promote fuel efficiency,

tableau-project