ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

movie-project

mqtt.org

The mqtt.org website

natural-language-processing-for-stocks-news-analysis--11th-nov-21

In this deep learning project, we will train a Long Short Term Memory (LSTM) deep learning model to perform stocks sentiment analysis. Natural language processing (NLP) works by converting words (text) into numbers, these numbers are then used to train an AI/ML model to make predictions. In this project, we will build a machine learning model to analyze thousands of Twitter tweets to predict people’s sentiment towards a particular company or stock. The algorithm could be used automatically understand the sentiment from public tweets, which could be used as a factor while making buy/sell decision of securities.

neural-network-from-scratch-in-tensorflow

Welcome to Neural Network from Scratch in TensorFlow! In this 2-hours long project-based course, you will learn how to implement a Neural Network model in TensorFlow using its core functionality (i.e. without the help of a high level API like Keras). You will also implement the gradient descent algorithm with the help of TensorFlow's automatic differentiation. While it’s easier to get started with TensorFlow with the Keras API, it’s still worth understanding how a slightly lower level implementation might work in tensorflow, and this project will give you a great starting point for the same.

nlp-twitter-sentiment-analysis

In this project, we will train a Naive Bayes classifier to predict sentiment from thousands of Twitter tweets. This project could be practically used by any company with social media presence to automatically predict customer's sentiment (i.e.: whether their customers are happy or not). The process could be done automatically without having humans manually review thousands of tweets and customer reviews.

pandas-workshop

A 3-hour introductory workshop on pandas with notebooks and exercises for following along.

pandas_exercises

Practice your pandas skills!

pcc_2e

Online resources for Python Crash Course (Second Edition), from No Starch Press

performing-data-aggregation-using-sql-aggregate-functions

predict-ad-clicks-using-logistic-regression-and-xg-boost

In this project, we will predict Ads clicks using logistic regression and XG-boost algorithms. In this project, we will assume that you have been hired as a consultant to a start-up that is running a targeted marketing ad campaign on Facebook. The company wants to analyze customer behavior by predicting which customer clicks on the advertisement.

predicting-future-product-prices-using-facebook-prophet

- Understand the theory and intuition behind Facebook times series forecasting tool - Import Key libraries, dataset and visualize dataset - Build a time series forecasting model using Facebook Prophet to predict future product prices - Compile and fit time series forecasting model to training data - Assess trained model performance

predicting-the-weather-with-artificial-neural-networks-project

programming

programming for everybody

project-based-learning

Curated list of project-based tutorials

project-data-visualization-with-python---matplotlib-and-seaborn

Understand python programming fundamentals for data visualization Leverage the power of Matplotlib and Seaborn Plot histograms, countplots, scatterplots, and line plots

project-predict-sales-revenue-with-scikit-learn

Project: Predict Sales Revenue with Simple Linear Regression

project-predicting-house-prices-with-regression-using-tensorflow

Create, train, and evaluate a neural network in TensorFlow. Solve regression problems with neural networks.

projects

:page_with_curl: A list of practical projects that anyone can solve in any programming language.

public-apis

A collective list of free APIs

python

IBM Data Science Professional Certificate on Coursera

python-for-data-analysis-pandas-and-numpy

Project - Python for Data Analysis: Pandas and Numpy

python-project-for-ai-application-development-8-nov-21

python_practice

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

quiz-application-in-python-data-structures

recognizing-shapes-in-images-with-opencv

To apply computer vision techniques to process images, extract useful features and detect shapes using Hough transforms. By the end of this project, you will have analyzed real-world images using industry standard tools, including Python and OpenCV.

school-store-project

simple-linear-regression-for-the-absolute-beginner

In simple linear regression, we predict the value of one variable Y based on another variable X. X is called the independent variable and Y is called the dependent variable. This guided project is practical and directly applicable to many industries.