azie88 Goto Github PK

agriculture-data-wrangling

Basics of manipulating, pre-processing, cleaning, and wrangling data in Python

azie88

beginner-data-analysis

Beginner Data Analysis and Power BI Dashboarding with Indian Startup Dataset (2018-2021)

c-low_level_programming

caesar-cipher

encrypt and decrypt user input with a left shift of 3 on the alphabet

docker-web-app

Developing a simple web app and deploying with Docker

estimated-time-of-arrival-eta-prediction

Creating an ML model to predict the estimated time of arrival at the dropoff point for a single journey on a ride-hailing app.

gradio-ml-classification-model-app-deployment

Building a ML Gradio App and Deploying on Huggingface spaces

inventory_sql_queries

Collection of SQL Queries for an inventory database

langchain_llm

machine-learning-classification-review

How to do a simple end-to-end machine learning classification project using the telco churn dataset

ml-classification-customer-churn-prediction

A telecom company wants to find out the likelihood of a customer leaving the company. This is a classification model that predicts if a customer will churn or not.

mortgage-calculator

Simple python program that calculates monthly payments for a mortgage.

nlp-huggingface-covid-19-tweet-sentiment-analysis

Fine Tuning text classification NLP models from huggingface with Covid-19 tweet data to build a model that classifies text based on Covid-19 sentiment

predicting-future-electricity-consumption

Creating a predictive model that can foresee the electrical consumption needs across different countries and regions in the world

regression-energy-data

Machine Learning Regression Model to Predict Energy Efficiency of Buildings

sepsis-prediction-fast-api

Random Forest Classifier model for predicting likelihood of Sepsis on ICU patients. Built API using Fast API and containerized with Docker.

sgd-classifier

Stochastic Gradient Descent (SGD) Classifier ML model that classifies images with the MNIST dataset from sklearn

shell_engineering-devops-basics

streamlit-ml-model-app-deployment

Creating an app for a ML regression model to allow non-technical people to interact with it.

time-series-forecasting-store-sales-prediction

An Ecuadorian-based grocery retailer, Corporation Favorita, needs a model that accurately predicts the unit sales for thousands of items sold at their different stores.