Portfolio
Here are a few things I've been working on:
These are some of the projects that I've completed using Python, NumPy, Pandas, Matplotlib, Seaborn, SciKit-Learn, and more. Projects feature data visualization and analysis as well as machine learning concepts including Natural Language Processing, KNN, SVM, linear regression, logistic regression, cluster analysis, support vector machines, and more.
Looking for more? Head over to my GitHub repository.
Data Modality: Text , Vedio, Image & Voice
This project utilizes Tensorflow/PyTorch, python, R, jupyter notebooks, Rstudio, matplotlib, and more
Natural Lanuage Processing & Voice Recog
Automatic Speech Recognizer with Convolutional Neural Networks and Recurrent Neural Networks
This project utilizes Tensorflow, AWS, python, jupyter notebooks, matplotlib, and moretransfer the style of an image to recognise voice..
AI stock price prediction
TradeNet :- An AI Model with To Predict Stock. A model(TradeNet) to predict the stock prices with decision on buying, selling or holding stock. Stock Market Trading with reinforcement Learning:- Neural Netwroks, Deep-Q-Learning, Tensorflow 2.0 ,Google collab.
Project uses numpy, pandas, scikitlearn, matplotlib, seaborn, vectorization, text processing with pipeline, tf-idf (term frequency-inverse document frequency), Naive Bayes, train test split, and a random forest classifier.
Advertising Position Detetction
This Project attempts to predict the advertising position in the website based on user click on an ad on the features/ offers .
Project uses Pandas, Numpy, Matplotlib, Seaborn, and Scikitlearn.
Linear Regression: Housing Prices
Linear Regression: Predicting housing prices utilizing USA_Housing.csv. Project uses Python, Scikitlearn, Numpy, Pandas, Matplotlib, and Seaborn..
Crop Image processing
Actionable insights and Early PEST detection from Crop Images using Image processing. Project uses Python, Tensorflow, Scikitlearn, Numpy, Pandas, Matplotlib, and Seaborn.