EDA and Feature engineering with Plotly library!
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Updated
Feb 24, 2021 - Jupyter Notebook
EDA and Feature engineering with Plotly library!
Machine learning algorithms.
Chainlink's Hackathon Spring 2023
This model was built using Python and Logistics Regression algorithm
Predicting house prices using linear regression models based on different features.
Developed a predictive model for heart disease using Decision Tree Algorithm to provide early diagnosis, performed Exploratory Data Analysis to find out the exact affecting symptom , visualized the data set using Matplolib, seaborn libraries For improving performance of Decision tree model, Got the accuracy of 84.6% by performing depth up to 15
42nd General Election Prediction for CSCI 6509 Natural Language Processing
Trying to use power of machine learning to predict stock prices
This repository contains the machine learning example and its usage of popular libraries.
After Learning Machine Learning I created some prject for my personal Portfolio
This is a model built using Python , Lasso and Linear Regression algorithm.
An Analysis Project for submarines by using sonar techniques which help to detect whether it's a rock or a mine.
Udacity机器学习进阶,非监督学习,创建用户分类
This Repository provides NoteBook for Regression Problem to predict Houses Prices
Charity organization analysis using neural networks
KNN and Decision Tree
A movie recommendation app built using the tmdb5000 dataset
Kaggle Study
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