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basic_deep

Baisc Deep Learning Model

bayesian_inference_on_sms

Identify spam messages is a binary classification problem as messages are classified as either 'Spam' or 'Not Spam'

corrective-rag-langgraph-langsmith-evaluation

This project implements a Corrective Retrieval-Augmented Generation (RAG) system using LangGraph and evaluates its performance with LangSmith. The system aims to improve the quality of responses by incorporating web search when necessary and grading the relevance of retrieved documents.

creating_customer_segments_using_unsupervised_learning

Created Customer Segments using Unsupervised Learning techniques like Principal Component Analysis , KMeans Clustering and Gaussian Mixture Models.

culinarychronicler

CulinaryChronicler is an AI-powered recipe bot specializing in 19th-century cuisine, featuring a historical recipe database and an English cooking dictionary. The project implements intelligent query routing, enabling efficient retrieval of culinary information and an extensive lexicon of cooking terminology.

data_preprocessing_and_data_visualization_using_pandas_and_seaborn

dbscan

Density-based spatial clustering of applications with noise (DBSCAN)

deep_neural_network_classification

Predicting whether customer will churn or not using Deep Neural Network

deep_vs_shallow

Comparing Deep Networks vs Shallow Networks

disfl-qa-experiments

This repository contains notebooks and experiments designed to evaluate the performance of a state-of-the-art language model (Llama 3.1) using various methodologies such as advanced prompt engineering and Parameter-Efficient Fine-Tuning (PEFT) with Low-Rank Adaptation (LORA).

dog_breed_classifier_using_cnn_and_transfer_learning_resnet50_and_inceptionv3

face_smile_eye_detection_using_opencv

finding_donors_using_supervised_learning

gaussian_mixture_models

Gaussian Mixture Models Clustering and Cluster Validation

hierarchical_clustering_on_iris

Performing Hierarchical Clustering on Iris Data Set

independent_component_analysis

ICA to retrieve original signals from three observations each of which contains a different mix of the original signals.

k_means_on_movie_ratings

k-means Clustering on Movie Ratings and finding how rating contribute to a movie recommendation system for users

kfold

K-Fold Cross Validation on Social Network Ads Network

linear-discriminant-analysis

Performing Linear Discriminant Analysis on Wine Quality Dataset

linear_regression_ecommerce_data

Build a Linear Regression model to help the company decide to go with mobile app or website.

logistic_regression_on_advertising_data

Indicating whether or not a particular internet user clicked on an Advertisement on a company website

machinelearningmtgecreditrisk

CS 691/692 Project 4: Machine Learning using Mortgage Credit Analysis

pca_on_breast_cancer_wisconsin_data

Applying Principal Component Analysis on Breast Cancer Wisconsin Data.

random_forest_on_lendingclub_data

Trying to classify and predict whether or not the borrower paid back their loan in full.

restful_web_service_implementation_docker

supervised_classification

Comparing Supervised Learning Classification Algorithm on Social Network Ads DataSet

support_vector_machines_on_iris

Analyzing the famous iris data set and predicting the "species" using Support Vector Machines.

survival_of_titanic_passengers

Predicting the Survival of Titanic Passengers

udacity_capstone

xgboost

Using XGBoost on Customer Churn Dataset