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automation

Automation with Python (Excel, scripts, etc)

basic-data-analysis

This is a step by step basic data analysis process, highlighting all the important tasks to be carried out.

basic-linear-regression-

A project showcasing the various steps involved in carrying out a basic linear regression task for prediction of a target variable.

computational-geophysics

Python implementations in geophysical methods: seismic and gravity

data-visualization-using-matplotlib-and-seaborn

deep-learning

A deep-dive on the entire history of deep-learning

force-2020-machine-learning-competition

the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.

geospatial-analysis-with-python

linear-regression-deep-learning-model

A deep learning model employing linear regression to uncover intricate patterns and relationships within data, enabling accurate predictions and precise estimation. Harnessing the power of neural networks, it maximizes the potential of linear regression for enhanced performance and advanced modeling.

machine_learning-_tasks

A list of machine leaarning tasks carried out in a set of series spread across 3 Colab Notebooks

object-oriented-programming-using-python

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

oil-and-gas-price-analysis-and-prediction

Prediction This repository contains the code and datasets for analyzing and predicting fuel prices, specifically Brent Oil, Crude Oil, Natural Gas, and Heating Oil. The project focuses on creating models to predict the closing prices of these fuels based on their opening, highest, and lowest prices.

oil_prediction

pythonyoutubeseries

stats_comparison_project

A basic comparison of different statistical methods for data understanding and exploration.

streamlit-demo

Build an interactive web app with streamlit and scikit-learn

table-comparison-tool

Compare two versions of a table to find differences between them. The compared tables should be saved as CSV files.