Pankaj Bhowmik (pjbk)

pjbk

Geek Repo

Company:HSTU

Location:Dhaka, Bangladesh

Home Page:https://www.kaggle.com/pankajbhowmik/

Twitter:@ibhowmikpankaj

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Pankaj Bhowmik's repositories

GitHubCopilot

Is GitHub Copilot Going to Replace Developers?

Logic-Circuit-Design-Lab-Work-

Digital Logic Design (DLD) is a fundamental subject for the engineering students worldwide. Well, many students find it difficult to design the digital circuits properly while pursuing the DLD course in colleges or universities. Therefore, I will try to assist those students by sharing my lab works with them.

A-Gist-of-Feature-Selection-Techniques-with-Python

In this notebook, I have shed some light on some useful feature selection techniques simply you can use in Machine Learning.

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Bank-Campaign-Subscriptions-Prediction

Predict the intention of customer either subscribing to the product or not.

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Breast-Cancer-Analysis-Prediction

Predict whether the cancer is benign or malignant.

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Ensemble-Learning--A-Stacking-Approach

I implemented a Stacking Ensemble Model to probe if it can surpass the individual models.

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handson-ml2

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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Perpetual-Calender

This project will help you to learn how to print calendar for a specific year. The user can get the whole calendar by just typing the required year as an input.

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pjbk

✨profile✨

Wine-Quality-Prediction

Quality Prediction of red and white wine

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data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

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Iris-Species-Prediction

Predict the Class of Iris Species

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Titanic-Machine-Learning-from-Disaster

Used machine learning to create a model that predicts which passengers survived the Titanic shipwreck

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Web-Based-Blood-Bank-Project

This web based project is developed using PHP, HTML, CSS languages and SQL queries.

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Web-Based-Project-BloodBank-Bangla-UI-Version-

This web based project is especially developed using Bangla language user interface.

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Web-based-project-to-Report-for-collecting-waste

This web based project is developed using PHP, HTML, CSS languages and SQL queries to handle uncertainty situations in waste management system (WMS).

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