Rohan Dawkhar's Projects
This repository has the implementation of traditional NLP techniques like Bag Of Words (BoW) and TF-IDF from scratch and then comparing the results with the scikit learn's respective libraries/modules vectorizers.
This repository shows, how linear models behave if there is imbalanced dataset. Support Vector Machine(SVM) and Logistic Regression(LR) algorithms are used with different regularization strength.
This repository has the production grade code for Face Clustering on cropped Celebrities Face Dataset, obtained from Pinterest.
CLA bot configuration for Kaskada-ai Org
Exploratory Data Analysis(EDA) on Haberman Dataset
This repository shows, how linear models behave if the features of the dataset are collinear in nature. Support Vector Machine(SVM) and Logistic Regression(LR) algorithms are used as linear models. Weights and accuracy scores are recorded in different scenarios.
This repository shows how linear models like Support Vector Machines (SVM) and Logistic Regression (LR) behaves for the data having features with different variances and how we can tackle this issue.
The testing framework dedicated to ML models, from tabular to LLMs π‘οΈπ§βπ¬
A vercel app which takes GitHub user's URL as an input and returns the most technically complex and challenging repository from that user's profile. This project is the submission for Mercor's ML Vetting Project.
This repository has the implementation of hyperparameter tuning techniques (GridSearchCV and RandomSearchCV) on K-Nearest Neighbour (KNN) algorithm, from scratch.
The Unified Machine Learning Framework
Modern, open-source event-processing
Overview and tutorial of the LangChain Library
This repository has the implementation of Logistic Regression algorithm from scratch, using SGD (Stochastic Gradient Descent). Scikit Learn library is not used.
This repository has the implementation of Performance Metrics (e.g. F1 score, AUC, Accuracy, etc) from scratch, without using Scikit Learn library.
This repository shows how outliers affect best fit linear regression line and how we can overcome this outlier problem with regularization.
Hey peopleπ, Check out this repository to learn more about me π€. You can also use it to make your own awesome GitHub README β¨ (Don't Forget to Fork and Star the repoπ
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This repository shows how to scrape Google Maps' places reviews data using SerpApi. Total 3 places' reviews are scraped in this code file, by filtering only Indonesian reviews. Google Maps API has also been used to find out place_id for 3 places.
A streamlit app which takes user voice input of spoken digit (0 to 9), recognizes the spoken digit and returns the digit associated label.