Data Science Training Course in Mathura by Uncodemy

In this project, your task is to identify major themes/topics across a collection of BBC news articles. You can use clustering algorithms such as LDA, LSA, etc.

• Pandas
• Mtpltlib
• Seaborn
• Numpy
• Computer Vision
• Deep Learning

The dataset consists of TV shows and movies available on Netflix as of 2019. The dataset is collected from Flixable, which is a third-party Netflix search engine.

• Pandas
• Mtpltlib
• Seaborn
• Numpy
• Machine learning algorithm

Prediction of bankruptcy is a phenomenon of increasing interest of firms who stand to lose money because of unpaid debts.

• Pandas
• Mtpltlib
• Seaborn
• Numpy
• Machine learning algorithm

This challenge asks you to build a classification model to predict the sentiment of COVID-19 tweets.

• Pandas
• Mtpltlib
• Seaborn
• Numpy
• Machine learning algorithm

In this project, we use three different datasets to come up with a book recommendation system for different users based on how they and others have rated previously purchased books.

• Recommendation Systems
• Data Science

Rossmann operates over 3,000 drug stores in 7 European countries. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance.

• Logistic Regression
• Random Forrest Classifier
• XGBoost
• Support Vector Classifier

Built a Classification model using Machine learning to predict whether a customer will default on his/her credit card.

• Logistic Regression
• Random Forrest Classifier
• XGBoost
• Support Vector Classifier