laibamemon / data_science_projrcts

Predict Employee Computer Access Needs in Python

Data_Science_Projects

Project-1 Build an Image Classifier for Plant Species Identification In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.

Project-2 Ecommerce product reviews - Pairwise ranking and sentiment analysis This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.

Project-3 Perform Time series modelling using Facebook Prophet In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

Project-4 Data Science Project in Python on BigMart Sales Prediction The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.

Project-5 Credit Card Fraud Detection as a Classification Problem In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.

Project-6 Human Activity Recognition Using Multiclass Classification in Python In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.

Project-7 Learn to prepare data for your next machine learning project Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

Project-8 Predict Employee Computer Access Needs in Python Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.

Project-9 Machine Learning project for Retail Price Optimization In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.

Project-10 Data Science Project - Instacart Market Basket Analysis Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

Project-11 Mercari Price Suggestion Challenge Data Science Project Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices

Project-12 Choosing the right Time Series Forecasting Methods There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.

Project-13 Time Series Forecasting with LSTM Neural Network Python Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

Project-14 Analyse Yelp Dataset with Spark & Parquet Format on Azure Databricks In this Databricks Azure project, you will use Spark & Parquet file formats to analyse the Yelp reviews dataset. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.

Project-15 Zillow’s Home Value Prediction (Zestimate) Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

Project-16 Predict Churn for a Telecom company using Logistic Regression Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

Project-17 Ecommerce product reviews - Pairwise ranking and sentiment analysis This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.

Project-18 Walmart Sales Forecasting Data Science Project Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.