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130 search results found

Tsf Supervised Machine Learning ⭐ 7

Task: To predict the percentage of a student based on the number of study hours.

Data Science Salary Estimator ⭐ 6

Data Science Project using Scraped GlassDoor Datasets for Salaries of Data Scientists. Building Tools & Models for MAE to analyze different salary groups

Data Science, Machine Learning, Natural Language Processing, Deep Learning, Quantum Information Processing, Quantum Computing

Python Lec ⭐ 6

Guia práctica de Python para el Laboratorio de Estadística Computacional.

Yelp Dataset Classification ⭐ 6

Multi-class classification on Yelp Data - part of Yelp Dataset Challenge 2017

Exploratory_data_analysis_and_ml_projects ⭐ 6

Several datasets are manipulated, visualized, and analyzed with well-known ML Algorithms to make predictions, clustering, or classifications.

Msis_2629_exercises ⭐ 6

Exercises of data analysis and visualizations for summer class of MSIS 2929 at Santa Clara University

Pet_projects ⭐ 6

🎭 Проекты, которые я выполняю самостоятельно. Датасеты беру из открытых источников.

80 Day With Python ⭐ 6

80 Days of Code The Complete Python Pro Bootcamp for 2022

Covid Dataset Analysis ⭐ 6

Analysis and review of the Covid dataset for EDA practice in pandas, numpy, and matplotlib and practice working with data.

Introduction To Data Analyst And Data Science ⭐ 6

Introduction to Data Analyst and Data Science for Beginners

Wine_quality ⭐ 6

This project focuses on analyzing datasets provided by Blueberry Winery, a portuguese wine producer company. Through a series of data wrangling, data cleaning, exploratory data analysis (EDA), and machine learning (ML) techniques, valuable insights were extracted from the data.

Data Mining 51job ⭐ 6

Data-mining on 51Job website

Machine Learning Projects ⭐ 6

Machine Learning Development Projects

Predicting_money_spent_at_resort ⭐ 6

It is From Analytics Vidhya Hackathons, Sponsored by Club Mahindra. It is based on Regression Problem, Where Accuracy matters the most, It is measured by RMSE Score. Different Techniques such as Stacking, Ensembling, Boosting and Scientific Operations such box-cox Operations to reduce skewness of the data.

Concrete Compressive Strength Prediction ⭐ 6

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

Python Tutorial ⭐ 6

Learn Python for data analysis from zero with this tutorial based on Jupyter notebooks.

Exploratory Data Analysis Eda ⭐ 6

Exploratory Dataset Analysis (EDA) will be uploaded to this repository. Libraries such as Pandas, Matplotlib and Seaborn will be used for data analysis.

Python For Data Science And Machine Learning Bootcamp ⭐ 6

Udemy course - Python for Data Science and Machine Learning bootcamp

Car Price Prediction Highly Comprehensive Linear Regression Project ⭐ 6

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 validity.

Seaborn Complete End To End ⭐ 5

Complete seaborn end to end

Learn Datavisulization Withme ⭐ 5

This repo contains notebooks for DataVisualizaton covering libraries such as matplotlib, seaborn and plotly

Head Start To Data Science ⭐ 5

Leave your regressions behind 🙈 and Let's #makeIThappen with Data Science ⚡

Market Basket Analysis On Food Items ⭐ 5

Frequent Itemsets via Apriori Algorithm Apriori function to extract frequent itemsets for association rule mining We have a dataset of a mall with 7500 transactions of different customers buying different items from the store. We have to find correlations between the different items in the store. so that we can know if a customer is buying apple, banana and mango. what is the next item, The customer would be interested in buying from the store.

Ipl Analysis ⭐ 5

The aim of the project is to analyze the previous year's IPL data to get some interesting insights.

Career Track Data Scientist With Python ⭐ 5

This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.

Datacamp_projects ⭐ 5

🏰 Проекты, сделанные на ресурсе DataCamp (Python, R, SQL). Ссылка: https://app.datacamp.com/learn

Python_tutorials ⭐ 5

Technocolab Final Project ⭐ 5

Final project made during my internship in Technocolabs.

Sales Analysis ⭐ 5

Using Python Pandas Library to Analyze Sales Data

Seaborn Tutorial ⭐ 5

seaborn tutorial

Datacamp Projects ⭐ 5

Data Camp Python Projects

Titanic Machine Learning From Disaster ⭐ 5

END TO END MACHINE LEARNING MODEL BUILDING

Diabetes Classification ⭐ 5

Modelo de previsão de diagnóstico de diabetes utilizando machine learning.

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