Pinned Repositories
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's Repositories
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/Date-Range-Picker
sahildigikar15/Lets-Start-Android-Dev-Kotlin