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Hey there, I'm Vivek. imv1v3k https://www.linkedin.com/in/vivekprajapati2048/

Machine Learning Engineer šŸ¤–šŸ’».

šŸŒ± Iā€™m currently learning Reinforcement Learning

šŸ“« Reach me on [email protected]

Area of Expertise: Computer Vision, Image Classification, Medical Imaging, 3D Image Classification, Image Segmentation, Object Tracking and Detection, Facial and Emotion Detection, Audio Classification, Natural Language Processing, Name Entity Recognition, Entity Extraction, Conversational AI, Chatbots, Text Summarization, Sentiment Analysis, Text Classification, Topic Modeling, Natural Language Generation, Transfer Learning
GIF

Skills:

Machine Learning/Deep Learning libraries: scikit-learn, TensorFlow, NumPy, Pandas, Matplotlib, Seaborn, jupyter Notebook, Anaconda, Keras, PyTorch, Flask, Django, Pyspark, OpenCV, nibabel, dicom, librosa
Deep Learning Algorithms: Simple NN, CNN, RNN, LSTM, Transformers, BERT, GPT-3
NLP: NLTK, spaCy, Gensim, word2vec, GLoVe, doc2vec, HuggingFace Transformers, RASA
Programming languages: JavaScript, Python
Cloud Computing and Containers: Docker, Google Cloud, AWS
Database Technologies (relational and non-relational): Microsoft SQL Server, PostgreSQL, MongoDB (NoSQL)

Vivek Prajapati's Projects

100-days-of-python icon 100-days-of-python

This repository consists of 100 Days of Code: The Complete Python Pro Bootcamp for 2022 on Udemy by Dr. Angela Yu

a-blog-website icon a-blog-website

A blog website created using Node.js + Express.js, EJS, MongoDB (mongoose) as backend and HTML, CSS, JS, Bootstrap as front-end and deployed on Heroku Server. Watch it live!

a-notes-keeper icon a-notes-keeper

A note keeper app where you can create important notes. This project is created to implement the concepts of React.js

a-secret-keeper icon a-secret-keeper

A web app to share your secrets anonymously. This Projects is created to implement the concepts of Authentication and Security like Register on the app with password, encryption, hashing password, salting, cookies and sessions, OAuth2.0 (open authentication) with third party.

advanced-house-price-prediction icon advanced-house-price-prediction

This repository consists of a famous Kaggle Competetion Dataset for House Price Prediction in which I did Exploratory Data Analysis, Feature Engineering and Random Forest.

air-pollution-during-lockdown-india icon air-pollution-during-lockdown-india

This repository consists of different operations over AQI dataset in order to find out the different changes in Air Pollution due to Lockdown in months February, March and April in major cities of India like Ahmedabad, Aizawl, Amaravati, Amritsar, Bengaluru, Bhopal, Brajrajnagar, Chandigarh, Chennai, Delhi, Ernakulam, Gurugram, Guwahati, Hyderabad, Jaipur, Jorapokhar, Kochi, Kolkata, Lucknow, Mumbai, Patna, Shillong, Talcher, Thiruvananthapuram and Visakhapatnam.

blog-website-django icon blog-website-django

This repository consists of Python Django Project of Blog Website from Udemy Course Python Django - The Practical Guide

breast-cancer-classification icon breast-cancer-classification

In this problem we have to use 30 different columns and we have to predict the Stage of Breast Cancer M (Malignant) and B (Bengin). This analysis has been done using Basic Machine Learning Algorithm with detailed explanation. The data we will use for this example is the Wisconsin Breast Cancer dataset, which is download from Kaggle. https://www.kaggle.com/uciml/breast-cancer-wisconsin-data

classifying-the-movie-review-with-dl icon classifying-the-movie-review-with-dl

This repository consists of a classification of movie review ie., positive or negative with Deep Learning model. The dataset used is the IMDB dataset. This is a binary classification example.

complete-react-developer icon complete-react-developer

This repository consists of code snippets from Zero To Mastery's Course - Complete React Developer in 2022 (w/ Redux, Hooks, GraphQL).

customer-segmentation icon customer-segmentation

This repository contains the project of Customer Segmentation which is an Unsupervised Learning problem. We have to decide wether it is a Retailer or Hotel/Restaurant/Cafe. The dataset taken is from UCI Machine Learning Repository.

deep-learning-specialization icon deep-learning-specialization

In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.

face-expression-recognizer icon face-expression-recognizer

This repository consists of a Computer Vision Project in which we have trained an EfficientNetB2 model on face expression image dataset with seven classes. We saved the best weights and model from the training and used it to predict face expression on real-time video capturing.

face-recognition-using-opencv icon face-recognition-using-opencv

This repository consists of Face Recognition using OpenCV in Python in which the model can recognize the face from image and realtime via webcam.

face-recognition-using-pca icon face-recognition-using-pca

First I created a simple python script using which I generated a dataset in .csv format from .npy files. And using this dataset I built a machine learning model for Face Recognition using PCA.

fake-news-detection icon fake-news-detection

This python project of detecting fake news deals with fake and real news. Using sklearn, we build a TfidfVectorizer on our dataset. Then, we initialize a PassiveAggressive Classifier and fit the model. In the end, the accuracy score and the confusion matrix tell us how well our model fares.

fruit-identification-system icon fruit-identification-system

This repository consists of a Object Detection Project for Multiclass Classification using Deep Learning approach. We trained three models ResNet50, InceptionV3 and EfficientNetB3 on the dataset consisting of approx. 90,000 images having 131 class (fruits and vegetables) to be classified.

heat-transfer icon heat-transfer

A Machine Learning project based on Heat Transfer concept of Mechanical Engineering. By using different features such as inner diameter, outer diameter, length, orientation and heat supplied to pipe we predicted a resistance offered in the pipe for the manufacturing purpose.

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