In this notebook everything is done from data preprocessing to encoding
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Updated
Sep 4, 2019 - Jupyter Notebook
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
A Heart Diseases Prediction built using Django web applications. Users can check whether it suffer heart diseases or not.
Shipment price predictive forecasting uses statistical techniques and machine learning to predict future prices based on historical data. It assists in understanding past trends, enhancing decision-making for cash flow, risk assessment, capacity planning, and meeting customer demands in the supply chain.
Machine learning model using Logistic Regression
This repository includes a small project that includes main ML topics as a reference.
In this project, I worked with Microsoft Excel and analyzed one year of sales data for Vrinda store. I started by cleaning and pre-processing the data. Then, I created various pivot charts and a dashboard to provide clear insights and suggestions for improving sales in the upcoming year.
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 contains projects for deep learning developed in python
this repo has codes of ML , while i am learning it
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.
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