Predicting Type of Forest Cover given features based on data collected as part of previous year surveys. This is a multi-class classification problem.
Acquisition of data using web-scraping, and optimizing the job application process. Analyze job openings, the key requirements and paygrade trends across industries.
Create an image, given a textual description using a model of Stacked - Generative Adversarial Networks (Stack - GANs). Deploy the trained model using Flask on Heroku.
Analyze the transcripts of podcasts from a particular domain, such as Data Science, thus summarize the content to derive consolidated meaning.
Create a Power BI dashboard showcasing insights derived from the sales dump, after transformations, available as a MySQL Data Source.
Predicting stock price using various machine learning models.
Developing a simulation of self driving car that evolves through generations to navigate better through coming traffic using Deep Learning.
Detect whether a cotton leaf or a cotton plant is affected by the disease by analysing the image of the cotton plant and it's leaves.
Recognize the various characters in Simpsons in the given images.
Recognize the celebrities in the given images by taking advantage of trained LBPHFaceRecognizer native to OpenCV
Implement a Dashboard to identify the penguin species given features like island, sex, bill - length & depth, flipper length and body mass.
Implement a Dashboard to identify the Iris flower species based on features sepal length & width, petal length & width.
Implement a Dashboard to predict the house prices in Boston using Random Forest Regression
Implement a Dashboard to predict the vehicle price using Random Forest Regression.
Implement a dashboard showcasing analysis of 100 Crypto-Currencies.
Implement a dashboard showcasing analysis of S&P500 Equity Index.
Implement a dashboard showcasing analysis of Pro-Football Player Statistics.
Implement a dashboard showcasing analysis of NBA Basketball Player Statistics.