vikrantarora25 / Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-Links
A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions vali…
☆32Updated 5 years ago
Alternatives and similar repositories for Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-
Users that are interested in Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project- are comparing it to the libraries listed below
Sorting:
- This is Kaggle project for the house price prediction☆109Updated 2 years ago
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆141Updated 2 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆52Updated 7 years ago
- ☆174Updated 6 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆135Updated 7 years ago
- This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…☆264Updated 2 years ago
- Customer segmentation using k-means clustering in python☆59Updated 6 years ago
- Machine learning for beginner(Data Science enthusiast)☆123Updated 4 months ago
- Applying Machine learning Algorithms on various data sets.☆66Updated 3 years ago
- To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …☆42Updated 7 years ago
- Association rule mining is a technique to identify underlying relations between different items.☆68Updated 6 years ago
- Welcome to Data Science Bootcamp Series. This repository houses the source code and other supporting artifacts related to this bootcamp s…☆55Updated 5 years ago
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆214Updated 2 years ago
- A Collection of Data Science/ML Projects☆151Updated 2 years ago
- Open Machine learning Projects☆97Updated 2 years ago
- Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that a…☆44Updated 5 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆89Updated last year
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 7 years ago
- The solution to the Loan Prediction Practice Problem on Analytics Vidhya (https://datahack.analyticsvidhya.com/contest/practice-problem-l…☆30Updated 5 years ago
- I'll use various machine learning algorithms to predict the price of used cars.☆42Updated last year
- Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊☆227Updated 6 years ago
- ☆108Updated 5 years ago
- The Data Science with Python course provides a complete overview of Data Science analytics techniques using Python. A data scientist is o…☆16Updated 4 years ago
- ☆122Updated 5 years ago
- Code Repo with My Solved Exercises From the Udemy Bootcamp☆35Updated 6 years ago
- projects done at ineuron.ai☆59Updated 5 years ago
- Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using…☆64Updated 5 years ago
- There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learnin…☆44Updated 4 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆33Updated 3 years ago
- ☆11Updated 5 years ago