Balakishan Molankula (Balakishan77)

Balakishan77

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Home Page:https://www.linkedin.com/in/balakishanmolankula/

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Balakishan Molankula's repositories

Yolov8-Custom-Object-Detetction

This repo explains the custom object detection training using Yolov8.

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yolov5_custom_trained_traffic_sign_detector

YOLOv5 Object Detection on Traffic Signs Dataset with Custom Training

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Spam-Email-Classifier

Email Classification using Naive Bayes algorithm

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Multivarite-Gaussian-Distribution-for-Fraud-Detection

Anomaly detection using Multivariate Gaussian Distribution and achieved above 70% of F1 score on Test and Cross validation set

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News-Articles-Classification

This dataset contains around 125k news headlines from the year 2013 to 2018 obtained from HuffPost. The model trained on this dataset could be used to identify tags for untracked news articles or to identify the type of category of the news.

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Clustering-of-Customers-Based-on-their-purchasing-behaviour

Analyzing the content of an E-commerce dataset and cluster the customers based on their purchases.

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course-nlp

A Code-First Introduction to NLP course

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Coursera_MLOps_Specialization

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

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tensorflow

An Open Source Machine Learning Framework for Everyone

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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Data-science

Collection of useful data science topics along with code and articles

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data-science-interviews

Data science interview questions and answers

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DeepLearningExamples

Deep Learning Examples

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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feature-engineering-for-machine-learning

Code repository for the online course Feature Engineering for Machine Learning

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handson-ml3

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.

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ml-interviews-book

https://huyenchip.com/ml-interviews-book/

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models

Models and examples built with TensorFlow

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Python-Feature-Engineering-Cookbook

Python Feature Engineering Cookbook, published by Packt

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python-glmnet

A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

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Sentiment-Analyis-of-IMDB-dataset

Predicting sentiment of the IMDB reviews

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SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

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