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Projects in Awesome Lists by shibasishb2

A curated list of projects in awesome lists by shibasishb2 .

https://github.com/shibasishb2/feature-engineering-model-tuning

The project was accomplished by employing supervised learning, ensemble modeling, and unsupervised learning techniques to build and train a prediction model to identify Pass/Fail yield of a particular process entity for a semiconductor manufacturing company.

feature-engineering grid-search model-tuning pca python supervised-learning

Last synced: 24 Nov 2024

https://github.com/shibasishb2/ensemble-techniques

This project is based on the case study of a telecommunication company, which is facing a customer churn issue. The project aims at understanding the pattern of the data and predicting customers who are going to churn based on multiple variables to help the company in retaining their existing customers.

adaboost decision-trees eda logistic-regression ml-workflow python random-forest

Last synced: 24 Nov 2024

https://github.com/shibasishb2/machine-translation-capstone

Created a machine translation model to translate German sentences to English

Last synced: 24 Nov 2024

https://github.com/shibasishb2/natural-language-processing

Develop an advanced support ticket categorization system that accurately classifies incoming tickets, assigns relevant tags based on their content, and assigns priority and ETA for the tickets for prompt resolution

data-manipulation exploratory-data-analysis large-language-models prompt-engineering transformers

Last synced: 24 Nov 2024

https://github.com/shibasishb2/test

Last synced: 24 Nov 2024

https://github.com/shibasishb2/neural-network-and-deep-learning

Part A: To build a machine learning model to predict the signal quality of a communication equipment using various parameters. Part B: To develop a digit classifier using the Street View Housing Number (SVHN) dataset.

deep-learning image-recognition neural-networks tensorflow

Last synced: 24 Nov 2024

https://github.com/shibasishb2/supervised-learning-project

This project uses the most popular classification techniques to predict the outcomes after extensively working on EDA treating missing values and imbalanced data.

knn-classification linear-regression logistic-regression naive-bayes-classifier python svm

Last synced: 24 Nov 2024

https://github.com/shibasishb2/applied-statistics-project

This project uses Plotting distribution, Visualization and Hypothesis Testing to validate statistical evidence and leverage information to make effective decisions.

data-visualization exploratory-data-analysis hypothesis-testing python statistical-inference

Last synced: 24 Nov 2024

https://github.com/shibasishb2/unsupervised-learning

Part 1 - To segment cars into various categories by fuel consumption and other attributes Part 2 - To classify a given silhouette as one of three types of vehicle, using a set of features extracted from the silhouette. The vehicle may be viewed from one of many different angles.

classification clustering principal-component-analysis python support-vector-machines

Last synced: 24 Nov 2024

https://github.com/shibasishb2/computer-vision

Build a robust image classifier using CNNs to efficiently classify different plant seedlings and weeds to improve crop yields and minimize human involvement

convolutional-neural-networks image-processing keras tensorflow transfer-learning

Last synced: 21 Dec 2024