Featured Projects
Find the curated list of projects implemented by the learners at Jovian
Zerotoanalyst Ecomm Eda
Explore customer behaviour data of a multi-category e-commerce store through exploratory data analysis of the Shrinkme dataset using Python, Pandas, Matplotlib and Seaborn. Discover patterns of visits, view and purchase behavior, popular brands, and segment customers using RFM. Dataset includes 5GB of data and 42.4 million records from the REES46 Marketing Platform on Kaggle.
Explore customer behaviour data of a multi-category e-commerce store through exploratory data analysis of the Shrinkme dataset using Python, Pandas, Matplotlib and Seaborn. Discover patterns of visits, view and purchase behavior, popular brands, and segment customers using RFM. Dataset includes 5GB of data and 42.4 million records from the REES46 Marketing Platform on Kaggle.
Forex Project
Learn how to predict Dow Jones Industrial Average using LSTM and Skorch with a moving window of 5 days data. Join daily datasets and use recurrent neural nets to leverage sequential data.
Learn how to predict Dow Jones Industrial Average using LSTM and Skorch with a moving window of 5 days data. Join daily datasets and use recurrent neural nets to leverage sequential data.
Used Cars Eda Organised Final
Explore interesting trends in the world's largest collection of used vehicles for sale on Craigslist using pandas, plotly, and folium. Find answers and insights on the dataset obtained from Austin Reese's 'Used Cars Dataset' available on Kaggle.
Explore interesting trends in the world's largest collection of used vehicles for sale on Craigslist using pandas, plotly, and folium. Find answers and insights on the dataset obtained from Austin Reese's 'Used Cars Dataset' available on Kaggle.
Linkedin Learning Web Scraping Using Selenium
Learn how to scrape top courses from Linkedin Learning using Selenium and Python. Automate the dynamic website, extract the data and store it in an organized form using Pandas. Run the code locally and create a combined list of courses in a CSV file.
Learn how to scrape top courses from Linkedin Learning using Selenium and Python. Automate the dynamic website, extract the data and store it in an organized form using Pandas. Run the code locally and create a combined list of courses in a CSV file.
Project 1 Web Scraping With Python
Learn how to scrape top Data Science jobs from leading e-recruiting websites using web scraping techniques. Extract job titles, company names, locations, posting dates, number of applicants, experience and seniority levels, and job URLs to create a CSV file for analysis. Follow along with the Jupyter notebook and code provided.
Learn how to scrape top Data Science jobs from leading e-recruiting websites using web scraping techniques. Extract job titles, company names, locations, posting dates, number of applicants, experience and seniority levels, and job URLs to create a CSV file for analysis. Follow along with the Jupyter notebook and code provided.
Web Scraping Bollywood Filmographies Project
Learn how to scrape Bollywood filmography data using Python! This project uses web scraping to extract data from Wikipedia and compile it into a CSV file, with Pandas and BeautifulSoup4.
Learn how to scrape Bollywood filmography data using Python! This project uses web scraping to extract data from Wikipedia and compile it into a CSV file, with Pandas and BeautifulSoup4.
Project 2 Exploratory Data Analysis
Learn EDA on Brazilian E-Commerce Olist with this Jupyter notebook tutorial hosted on Jovian. Run the code online or on your computer with free resources.
Learn EDA on Brazilian E-Commerce Olist with this Jupyter notebook tutorial hosted on Jovian. Run the code online or on your computer with free resources.
Pubg Placement Prediction
Learn how to predict the win percentage of PUBG players using Machine Learning. Use regression models like linear regression and decision tree models like Random forest,XGboost and LightGBM. Get the dataset from Kaggle and perform EDA, feature engineering, and hyperparameter tuning. Evaluate the models using mean absolute error.
Learn how to predict the win percentage of PUBG players using Machine Learning. Use regression models like linear regression and decision tree models like Random forest,XGboost and LightGBM. Get the dataset from Kaggle and perform EDA, feature engineering, and hyperparameter tuning. Evaluate the models using mean absolute error.
Eda Hotelbooking
Perform EDA on Hotel-Booking data including data preprocessing, cleaning, analysis, and visualization. Get insights on lead time, cancellations, arrivals, and more. Code and markdown included.
Perform EDA on Hotel-Booking data including data preprocessing, cleaning, analysis, and visualization. Get insights on lead time, cancellations, arrivals, and more. Code and markdown included.
Jovian Course Project Exploratory Data Analysis By Sridhar
Explore the "Layoffs Data" dataset with Pandas and visualize the distribution of layoff counts, top companies by layoff count, and total layoff count over time.
Explore the "Layoffs Data" dataset with Pandas and visualize the distribution of layoff counts, top companies by layoff count, and total layoff count over time.