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100_days_mldl

Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory with Implementation. Save for Later ⭐ Happy Learning :)

atsaf

Applied Time Series Analysis and Forecasting

awesome-google-colab

Google Colaboratory Notebooks and Repositories (by @firmai)

basic-mathematics-for-machine-learning

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

dash-by-plotly

Interactive data analytics

data-science---tirthajyoti-sarkar---data-science-best-resources

data-science-with-r

Curated Data Science Tutorials with R

data_science_bootcamp

data_science_python

decision-making-with-statistics

This project repository focuses on driving better business decisions with Hypothesis Testing including T-test, ANOVA, Binomial Test, Chi-square test, Sample Size Determination with Scipy, Statmodels modules along with Pandas for Data Manipulation

deepunderstandingofdeeplearning

Python code accompanying the course "A deep understanding of deep learning (with Python intro)"

demand-forecasting-retail

2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in Supply Chain Management, 14)

exploratory-data-analysis

feature-engineering-for-machine-learning

Code Repository for the online course Feature Engineering for Machine Learning

fpp3

Notes and notebooks from Forecasting: Principles and Practice by Hyndman and Athanasopoulos

fpp3-python-readalong

Python-centered read-along of Forecasting: Principles and Practice

fpp3_slides

Slides to accompany Forecasting: Principles and Practice, 3rd edition

freecodecamp-intro-to-numpy

Introduction to NumPy

freecodecamp-pandas-real-life-example

introduction to Data Analysis

ibm-data-science-professional-certification

Learning materials, Quizzes & Assignment solutions for the entire IBM data science professional certification. Also included, a few resources that I found helpful.

machine_learning_bootcamp

microsoft-press-introduction-to-microsoft-power-bi-v2

Power BI

modern-time-series-forecasting-with-python

Modern Time Series Forecasting with Python, published by Packt

pandas-tutorial

Jupyter Notebooks and Data Sets for Pandas Library

pdswr2

Code, Data, and Examples for Practical Data Science with R 2nd edition (Nina Zumel and John Mount) https://github.com/WinVector/PDSwR2

practical-nlp

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

python-training

Set of Notebooks capturing my journey of Python for Data Science

reva-datascience

statistics-for-machine-learning

Statistics for Machine Learning, published by Packt

statistics-with-python

Analyzing Data applying Statistical methods with Python