sahildigikar15

Amazon-Fine-Food-Reviews

A Classification problem, given text review to determine whether the review is +ve or -ve using various ML algorithms. Here we are finding the model that peforms well using AUC as a metric.

Anomaly-Detection-in-Surveillance-Videos

The goal of anomaly detection is to identify cases that are unusual within video data.

bert

TensorFlow code and pre-trained models for BERT

Bidirectional-SectionList-Implementation

A movie information APP that displays a list of movies from The Movie Database (TMDb) API. The app shows top movies for each year and users can filter by genre, the app also loads top movies from previous / next years as the user scrolls through the list in both direction.

Duplicate-Question-Detection

Identify which questions asked on QUORA are duplicated on question that have already been asked. Used performance metric as log loss and trained the model using XGBOOST that brought my log loss to 0.3157.

Link-Prediction-Using-Graph-Mining

Given a directed social graph, have to predict missing links to recommend users.

Manual-Implementation-of-Stochastic-Gradient-Descent-Linear-Regression--

Implemented Stochastic Gradient Descent linear Regression on Boston House Price Data. Here we have also implemented SGD using python code. At last we are comparing the weights obtained by Sklearn's LinearRegression with Sklearn's SGDRegressor along with our own python implementation of SGDRegressor.

Micro-Frontend-In-Prod

Micro-Frontend-Integration

A simple micro-frontend project to understand module federation plugin

Personalized-Cancer-Redefining-Cancer-Treatment-

Classify the given genetic variations/mutations based on evidence from text-based clinical literature.

sahildigikar15/Duplicate-Question-Detection

Identify which questions asked on QUORA are duplicated on question that have already been asked. Used performance metric as log loss and trained the model using XGBOOST that brought my log loss to 0.3157.

sahildigikar15/Link-Prediction-Using-Graph-Mining

Given a directed social graph, have to predict missing links to recommend users.

sahildigikar15/Personalized-Cancer-Redefining-Cancer-Treatment-

Classify the given genetic variations/mutations based on evidence from text-based clinical literature.

sahildigikar15/Amazon-Fine-Food-Reviews

A Classification problem, given text review to determine whether the review is +ve or -ve using various ML algorithms. Here we are finding the model that peforms well using AUC as a metric.

sahildigikar15/bert

TensorFlow code and pre-trained models for BERT

sahildigikar15/Different-CNN-Architectures-on-MNIST-dataset-

Experimented with different architectures and kernels on MNIST dataset using Convolutional Neural Networks.

sahildigikar15/Forecasting-the-Cabs-Demand

To find number of pickups, given location coordinates(latitude and longitude) and time, in the query region and surrounding regions.

sahildigikar15/Forex-Aggregator-Web-app

sahildigikar15/How-to-not-OVERFIT-

sahildigikar15/Human-Activity-Recognition

sahildigikar15/LSTM-on-Donors-Choose-Dataset

sahildigikar15/Malware-Classification-using-Machine-Learning-based-Features-Extraction-Technique

sahildigikar15/Manual-Implementation-of-Stochastic-Gradient-Descent-Linear-Regression--

Implemented Stochastic Gradient Descent linear Regression on Boston House Price Data. Here we have also implemented SGD using python code. At last we are comparing the weights obtained by Sklearn's LinearRegression with Sklearn's SGDRegressor along with our own python implementation of SGDRegressor.

sahildigikar15/MLP-Architetures-on-MNIST-dataset

Experimented with different architectures on MNIST dataset using MLPs with different dropouts.

sahildigikar15/Predicting-Tags-For-Stackoverflow

Suggest the tags based on the content that was there in the question posted on Stack Overflow. Used performance metric as micro F1 score and trained models by using One VS Rest Logistic Regression and Linear SVM

sahildigikar15/Recommendation-Engine-For-Apparel-Data

sahildigikar15/sahildigikar15

sahildigikar15/Steering-Wheel-Estimation-From-A-Video

sahildigikar15/Anomaly-Detection-in-Surveillance-Videos

The goal of anomaly detection is to identify cases that are unusual within video data.

sahildigikar15/Bidirectional-SectionList-Implementation

A movie information APP that displays a list of movies from The Movie Database (TMDb) API. The app shows top movies for each year and users can filter by genre, the app also loads top movies from previous / next years as the user scrolls through the list in both direction.

sahildigikar15/Micro-Frontend-In-Prod

sahildigikar15/Micro-Frontend-Integration

A simple micro-frontend project to understand module federation plugin

sahildigikar15/Concurrency-in-GO

Concurrency in GO

sahildigikar15/Date-Range-Picker

sahildigikar15/Lets-Start-Android-Dev-Kotlin