Ratna Priya's repositories
Tagging-Raw-Job-Descriptions-using-NLP
Tagging and Ananlysis of Raw Job Descriptions using Natural Language Processing
Algo_Ds_Notes
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
Customer-Segments
Creating Customer Segments
Java-Codes-LeetCode
Here, you can find LeetCode solutions in Java!
Transfer-Learning---CNN
VGGNet architecture
Sentiment-Classification-Analysis
Sentiment Classification & Framing Problems for a Neural Network
algorithms
Minimal examples of data structures and algorithms in Python
Auto-Encoders
An autoencoder to learn efficient data codings in an unsupervised manner.
CNN-IN-Keras
Applications of Covolutional Neural Network IN Keras
Decoding-Hand-written-Numerial-Digits
Convolutional Neural Network -Training an MLP on MNIST
Disposal-Codes
A place for my dispensable codes.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Horse-or-Human-Classifier
A no validation DL code , that classifies a image as a horse or a human depending upon the picture choosed.
IMDB-Data-Analysis-in-Keras
Analyzing IMDB Data in Keras
Large-File-Processing
Large Data file (CSV) processor through Java
qmk_monthly
QMK Monthly
Quiz-in-Python-by-reading-Json-file
Creating Quiz in python which takes Json file as input
Ratna04priya
Want to know me?
ScriptsDump
The biggest dump of scripts ever!
Self_Driving_Car_specialization
Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera
Spam-Detection-using-NLP-ML-models
This jupyter notebook has various ML classification models to detected a mail as spam or not
Travelling-Salesman-Problem-using-Genetic-Algorithm
Travelling Salesman Problem Using Genetic Algorithm
Weight-Initialization-for-Neural-Networks
To find good initial weights for a neural network. Having good initial weights can place the neural network close to the optimal solution. This allows the neural network to come to the best solution quicker.