Rohit Modi's repositories
Emojify-V2
Emojify_V2 is a Model that predicts the most appropriate Emoji to be put at the end of each sentence just to make it more visually appealing, originally completed as a Coursera-Deep learning-course assignment.
traffic-surveillance-cars-proximity-detection
This repository contains code for car detection which also alerts whenever any of the cars are getting too close to each other, implemented using Tensorflow object detection
cement_strength_prediction
Predict the Compressive Strength of Concrete using Machine Learning. Built an End to End Pipeline to Fetch, Validate, Preprocess, Cluster, and then Train best performing Machine Learning Model for each of the Cluster. Best Performing Model is selected by Training 5 different Regression Algorithms on unique sets of Hyperparameters using Grid Search CV and then train the same 5 models on the Hyperparameters that gave the highest R-Squared Score, then out of these 5 Different ML Algorithms, Select the one with the Highest R-Squared Score.
imdb-sentiment-analysis
Sentiment analysis on IMDB dataset using DistilBERT. Fine-tuned a pre-trained DistilBERT model on the IMDB dataset.
Just-Random-Codes
As the name says, Just some random programs here.
Kaggle-APTOS-2019-Blindness-Detection
Repo for the "APTOS 2019 Blindness Detection" competition on Kaggle, to share my approach to solving the problem.
shredder_machine_hand_detection
Hand detection to stop the Shredder machine when the hand gets too close to the machine.
wafer_fault_detection
The aim is to detect a fault in a Wafer sensor by looking at the data that is generated by the sensor and then classifying them into Good Wafer (-1) or Faulty/Bad Wafer (1). Used Automated Process for Training and Predictions Process. For the training Process, the Program automatically Selects the Best performing out of 5 different Classification Algorithms using GridSearchCV and ROC-AUC Score.
ML_ALGOS_from_scratch
ML algorithms made from scratch, for referential purpose.
wine_quality_mlops
Wine quality prediction project built using MLOPS practice