Complete Data Science and Machine Learning From Scratch

Analytics Vidhya hosts "JOB-A-THON" where over 7000+ enthusiasts got the opportunity to showcase their skills.

Need to model the price of houses with the available independent variables. This model will then be used by the management to understand how exactly the prices vary with the variables. They can accordingly manipulate the strategy of the firm and concentrate on areas that will yield high returns. Further, the model will be a good way for manageme…

This repository focuses on two machine learning projects in the healthcare domain.

This repository contains projects for deep learning developed in python

this repo has codes of ML , while i am learning it

TitanicClassification.py file contains project based on binary classification. The dataset comprises of data related to passengers and binary value of whether they survived or not.

The Titanic classification problem involves predicting whether a passenger on the Titanic survived or not, based on various features available about each passenger. The sinking of the Titanic in 1912 is one of the most infamous maritime disasters in history, and this dataset has been widely used as a benchmark for predictive modeling.

The objective of this project is to develop a machine learning model and deploy it as a user-friendly web application that predicts the resale prices of flats in Singapore.

Explore sentiments in COVID-19 vaccine tweets using NLP. Analyze trends, visualize opinions, and uncover public perceptions.

Thrilled to share my new role as a Machine Learning Intern at SYNC INTERN'S! Grateful for the chance to grow in Machine Learning.

This repository hosts a machine learning project focused on predicting various types of cancers – brain, bone, bladder, colorectal, and head & neck – using DNA data. Leveraging advanced machine learning techniques, the model processes genetic information to provide accurate predictions regarding the likelihood of developing these cancers efficient

Food Market Analysis Comprehensive analysis of the food market, covering data preparation, exploratory data analysis (EDA), feature engineering, and machine learning modeling. Gain insights into customer demographics, meal preferences, and dining trends. Leverage findings for business decisions and further analysis.

Machine Learning programs using some aspects of Data Science.

In this notebook everything is done from data preprocessing to encoding

Clustering for Boston Crimes in USA

Predict if Customer ' ll Leave Bank or Not