A text classifier for wine reviews crawled from http://winemag.com.

Neural Network Implementation on Python

My files from the first course of deeplearning.ai Specialization

Deep Learning Coursera Example solution

Analyzing demographic data using Pandas using a dataset of demographic data that was extracted from the 1994 Census database.

Determine if number of travelers in 2021 is different for AA and AS airlines

The NumPy and Pandas Learning Exercises and Practice Code repository is a collection of resources for individuals who are interested in learning the NumPy and Pandas libraries and their functions. Both libraries are powerful libraries for numerical computing and data analysis in Python and are widely used in scientific computing, data science.

Numpy helps to create arrays,matrix functions like arange, linspace,zeros,ones,eyes, sqrt,unique & random can be used.

The Data Science Apps repository contains a collection of simple data science applications that use Python, the Streamlit library, and various other data science libraries to explore different data science topics.

Here I upload python from basic to advance ,oops in python, dsa using python system design, numpy, pandas, data science, ML also. Follow @shibam120302 and star this repo.

Explore the Housing Data EDA Project, an in-depth analysis of a housing dataset. Discover trends, correlations, and factors influencing housing prices. Gain valuable insights for individuals and real estate professionals.

The "Car Price Prediction" project focuses on predicting the prices of cars using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Lasso regression, and Linear regression, this project provides a comprehensive solution for accurate price estimation.

TP III : Algorithmique et Python

A light-weight Python library creates 3D mesh from a 2D curve by revolving

Python Libraries Handbook, is collection of cheat sheets for popularly used python libraries.

Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.

Unlocking Netflix: Strategies for Data Analysis and Content Optimization

Numpy exercises.