kpasha Goto Github PK

housing_price_prediction_projectchange-image-housing_price_prediction_project-

#Hackveda #https://bit.ly/3y3zixE #Khadeer Pasha # Advanced-House-Price-Prediction It is a Advanced Problem of Regression which requires advanced techniques of feature engineering, feature selection and extraction, modelling, model evaluation, and Statistics. Start here if... You have some experience with R or Python and machine learning basics. This is a perfect competition for data science students who have completed an online course in machine learning and are looking to expand their skill set before trying a featured competition. # Description Practice Skills Creative feature engineering Advanced regression techniques like random forest and gradient boosting Acknowledgments The Housing dataset. # Goal It is your job to predict the sales price for each house. For each Id in the test set, must predict the value of the SalePrice variable.

how-to-receive-notifications-when-your-glue-etl-scripts-fail-email-alerts

Set up a job alert to notify you each time your job succeeds or fails if you're concerned about the status of your Glue job and are weary of constantly checking the job console for problems or success. Today, we'll put up a mechanism for notifications that will let us know when one of our Glue jobs has failed or halted.

hr_db

HR data and scripts.

ibalgotrading

Algo trading project with news scraping and Interactive Brokers Python API

incubator-superset

Apache Superset is a Data Visualization and Data Exploration Platform

industry-machine-learning

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

insert-update-delete-read-crud-on-delta-lakes-s3-using-glue-pyspark-custom-jar-files-athen

INSERT | UPDATE |DELETE| READ | CRUD |on Delta lakes(S3) using Glue PySpark Custom Jar Files & Athena

install-external-python-packages-on-serverless

install external python packages on serverless

insurance-claim-prediction

In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Data Visualization are also performed to support Analysis.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

ipython-dashboard

A stand alone, light-weight web server for building, sharing graphs created in ipython. Build for data science, data analysis guys. Aiming at building an interactive visualization, collaborated dashboard, and real-time streaming graph.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

jpmc-tech-task-1

jpmc-tech-task-1-py3

jpmc-tech-task-2

jpmc-tech-task-2-py3

jpmc-tech-task-3

jpmc-tech-task-3-py3

kaggle-insurance-claim-classification

This project aims to build a predictive model that can predict the probability that a particular claim will be approved immediately or not.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-onnx

Convert tf.keras/Keras models to ONNX

khadeerpasha_project_handwritten_digit_identification_using_dl_regexsoftware

Data Analyst, Data Science, Big Data, Machine Learning.

kpmg-virtual-internship

largepythonfilesorganise-how-to-load-zip-files-in-python-code-

LargePythonFilesOrganise | How to load zip files in Python code

learn-apache-airflow-in-easy-way-

Learn Apache Airflow in easy way

learn-powershell-code-examples

Contains code examples used in the Learn PowerShell Video & Blog series

learnpython

leetcode-in-python-50-algorithms-coding-interview-questions

Implementation of the coding interview questions for the "Leetcode in python 50 Algorithms Coding Interview Questions" Course on udemy

legos-for-life-net-core

linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers