buddhadeb33

AI-Driven-Autonomous-Vehicles

An end to end model :: AI-driving Vehicle using Deep Learning(CNN) using PyTorch implementation

Anomalies-Detection-Times-Series-Problem

Detection and prediction of anomalies from sites based on time series in Telecom Domain

Best-Cheat-Sheets-for-Machine-Learning-and-Deep-Learning

In this Cheat Sheet I am acquiring all the essential short cuts regarding Machine learning and deep leaning for self help and the AI Community, I am sure you would love this Respository.

buddhadeb

Here I have made My Data Science Portfolio using HTML5, CSS, Javascript, bootstrap and Markdown language. I have added my Resume in this Github repository.

Building-a-Simple-Chatbot-in-Python-using-NLTK

Building a Simple Chatbot from Scratch in Python (using NLTK)

Chatbot-using-Chatterbot-and-Deployment

Here I have tried to make basic chatbot with deployment using chatterbot.

Corona-virus-Global-Data-Visualization-Forcasting-and-Analysis

Coronaviruses are zoonotic, meaning they are transmitted between animals and people. Detailed investigations found that SARS-CoV was transmitted from civet cats to humans and MERS-CoV from dromedary camels to humans. Several known coronaviruses are circulating in animals that have not yet infected human.

Face-Recognition-Based-Attendance-System

This is a working demo of OpenCV Face Recognition based Attendance Management System. You can mark your attendance by just facing the camera. Technology used: Python OpenCV.

House-Sales-Prediction

I use various regression methods and try to predict the house prices by using them. As you can guess, there are various methods to suceed this and each method has pros and cons. I think regression is one of the most important methods because it gives us more insight about the data. When we ask why, it is easier to interpret the relation between the response and explanatory variables. I start with a very simple model and continue with more complex ones after visualizing some features and a data mining process. I try to find the best regression for this dataset. On the other hand, if you are looking for more theory and do not want to use built in functions, I recommend you to check my other kernel k-NN, Logistic Regression, k-Fold CV from Scratch.

Real-or-Not-NLP-with-Disaster-Tweets

This is a getting started competition of predicting whether a tweet is actually referring to real disasters.

buddhadeb33/AI-Driven-Autonomous-Vehicles

An end to end model :: AI-driving Vehicle using Deep Learning(CNN) using PyTorch implementation

buddhadeb33/Data-Science-Biriyani

The syllabus of Data Science is constituted of three main components: Big Data, Machine Learning and Modelling in Data Science. The major topics in the Data Science syllabus are Statistics, Coding, Business Intelligence, Data Structures, Mathematics, Machine Learning, Algorithms, amongst others.

buddhadeb33/Twitter-Sentiment-Analysis

Worked on a simple machine learning algorithm with Natural Language Processing predicting the sentiments of tweets and its visualizations.

buddhadeb33/buddhadeb

Here I have made My Data Science Portfolio using HTML5, CSS, Javascript, bootstrap and Markdown language. I have added my Resume in this Github repository.

buddhadeb33/AI-Chatbot-with-NLP-Speech-Recognition-Transformers

In this Project I have used Speech Recognition tools to perform speech-to-text and text-to-speech tasks, and I leveraged pre-trained Transformers language models to give the bot some Artificial Intelligence.

buddhadeb33/AI-Speech-Emotion-Recognition

This program is for recognizing emotions from audio files generated in a customer care call center. A customer care call center of any company receives many calls from customers every day. Every call is recorded for analysis purposes. The program aims to analyse the emotions of the customer and employees from these recordings.

buddhadeb33/attention_keras

Keras Layer implementation of Attention

buddhadeb33/Auto_Update_Naukri

Selenium Automation script that updates your Naukri profile Daily. Most recently updated profiles get more visits from recruiters!

buddhadeb33/awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

buddhadeb33/awesome-portfolio-websites

A community maintained open source project aimed at making a personal portfolio for researchers, developers, and analysts simple, fast, and less cumbersome. We make sure you have a full-fledged website to showcase your work while you can spend time on your learning and innovative endeavors.

buddhadeb33/Best-README-Template

An awesome README template to jumpstart your projects!

buddhadeb33/buddhadeb2

This is my own Portfolio, the technology used to react, node and express js. Development still in progress. The sole purpose of making this portfolio is learning the new stacks.

buddhadeb33/buddhadeb33

In this Repository, I am contributing my details in a markdown file.

buddhadeb33/buddhadeb33.github.io

This is my own Portfolio, the technology using HTML, CSS & javascript. Development is still in progress. The sole purpose of making this portfolio is to learn the new stacks.

buddhadeb33/data-science

:bar_chart: Path to a free self-taught education in Data Science!

buddhadeb33/Data-Structures-and-Algorithms-Python

All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

buddhadeb33/developerFolio

🚀 Software Developer Portfolio Template that helps you showcase your work and skills as a software developer.

buddhadeb33/DialoGPT

Large-scale pretraining for dialogue

buddhadeb33/git-jokes

Collection of questionably humorous git sayings

buddhadeb33/Hand_gesture_recognition

Hand Gesture Recognition is a cool project using OpenCV & Mediapipe which will explore the endless possibility.

buddhadeb33/Image_Categorization_CV

Image segmentation is a fundamental task in computer vision that involves dividing an image into distinct regions, each corresponding to a specific object, part, or class. The goal of image segmentation is to extract meaningful information from an image by assigning a label or category to each pixel or group of pixels.

buddhadeb33/load_forecasting

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

buddhadeb33/Machine-Learning-App-with-Django

Glass Type Classification with Machine Learning deployed with Django, implemented Random Forest Technique, resulted 84.39 % Accuracy.

buddhadeb33/MediaPipeHandPose

buddhadeb33/ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

buddhadeb33/openvino

OpenVINO™ Toolkit repository

buddhadeb33/Real-Time-Body-Language-Decoder

In this project we evaluate representations based on skeleton poses, as these are explainable, person-independent, privacy-preserving, low-Dimentional representations.

buddhadeb33/system-design-interview

System design interview for IT companies

buddhadeb33/Text-Summarization-Attention-Mechanism

Developed Text Summarizer which is built with Flask(RestAPI) and deployed on Heroku (PAAS) using the LSTM model and Attention Mechanism, got an accuracy of 87.82% as only 1,00,000 records for training and testing sets.

buddhadeb33/Youtube_Downloader