Niranjan Kumar's repositories
DeepLearning-PadhAI
All the code files related to the deep learning course from PadhAI
CreditRiskAnalytics
Predicting the default customers
Feedforward_NeuralNetworrks
Build our neural networks from scratch
GradientDescent_Implementation
Implement different variants of gradient descent in python using numpy
CustomerSegmentation-Banking
Develop a customer segmentation to define marketing strategy. Used PCA to reduce dimensions of the dataset and KMeans++ clustering technique is used for clustering and profiling of clusters.
Perceptron_Model
The repository contains the implementation of perceptron model.
LeadGeneration
Lead generation is a challenge that businesses have faced since the dawn of capitalism.
Complete_Python-3_BootCamp_Advanced
Learn Python with projects covering game & web development, web scraping, MongoDB, Django, PyQt, and data visualization
DeepLearning-Pytorch-IBM
Deep Learning with Python and PyTorch IBM Edx Course
keras-flask-deploy-webapp
:smiley_cat: Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
PriceOptimization
Analyzing different pricing methodologies
DataScienceBlogAnalysis_NLP
Code to Scrap the Blog content and Analyze using NLP
DeepLearning_A-Z_NeuralNetworks_Python
Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts
HRAnalyticsEmployeeAttrition
Uncover the factors that lead to employee attrition using IBM Employee Data
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
TelecomChurn
Analysing the telecom customer churn data
CreditCardSpendPrediction_Regression
Predicting the drivers affecting the credit card spending
deep_learning_object_detection
A paper list of object detection using deep learning.
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
PredictBuildingDamage_MLChallenge
Determining the degree of damage that is done to buildings post an earthquake using Machine Learning.The damage to a building is categorized in five grades. Each grade depicts the extent of damage done to a building post an earthquake.
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
IndiaML_Hiring_Hackathon_2019
India ML Hiring Hackathon by Analytics Vidya. Analytics Vidhya is proud to present the "India Machine Learning Hiring Hackathon- 2019" - India's Largest Hiring Hackathon where every data science aspirant and professional will get an opportunity to showcase their talent
Face_ImageCollectionTool
The automated tool to collect face images fastly and efficiently
Game_DL_ShipDetection
AnalyticsVidhya- Game of Deep Learning Hackathon: Computer Vision Ship Detection
ImageSegmentation_Classification
Develop a deep learning-based solution capable of accurately classifying handwritten characters on medical documents using the MNIST dataset as a benchmark.
Large_Language_Models_Execution
Implementing the LLMs using HuggingFace and OpenAI API for general applications
ProgramEvaluation
Evaluate two different content delivery programs for a foreign language platform.
PythonFastAPI_UseCase
Development of Python-based backend API using FastAPI
TeamSelectionTool
The smart way to select your team