amazon-food-review-analysis

Determine if a review is positive or negative

facebook-friend-recommendation

Given a directed social graph, have to predict missing links to recommend users (Link Prediction in the graph)

human-activity-recognition

This project is to build a model that predicts human activities such as Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing, or Laying. The dataset is implemented with traditional model as well as LSTM and CNN.

implementation-of-pre-trained-models-dl

learning

Leetcode solutions, contests and some other algorithm-related stuff

movie_recommendation_using_cosine_similarity

The purpose of a recommendation system basically is to search for content that would be interesting to an individual. Moreover, it involves a number of factors to create personalised lists of useful and interesting content specific to each user/individual. Recommendation systems are Artificial Intelligence based algorithms that skim through all possible options and create a customized list of items that are interesting and relevant to an individual. These results are based on their profile, search/browsing history, what other people with similar traits/demographics are watching, and how likely are to watch those movies. This is achieved through predictive modeling and heuristics with the data available.

pca

This repository shows the implementation of PCA from scratch from a geometrical point of view along with the python code. The blog along attached also describes its contribution in the field off AI.

personalized_cancer_diagnosis

Currently this interpretation of genetic mutations is being done manually. This is a very time-consuming task where a clinical pathologist has to manually review and classify every single genetic mutation based on evidence from text-based clinical literature. Predict the probability of each data-point belonging to each of the nine classes.

sagor-s-portfolio

sagor-saha

self-driving-car

This solves the autonomous driving issue which is supported by deep learning technology. Given a video, it splits into images and predicts the angle of turning for each frame.

sql-for-data-science

Coursework, code, notes, and etc. from the SQL for Data Science course from University of California, Davis.

statistics

xyz