akash16dhotre Goto Github PK

01_olympics_dataset_eda

Goal is to explore a dataset on the modern summer Olympic Games, from Athens 1896 to Rio 2016 and try to find hidden patterns, actionable insights from dataset.

02_sales_insights

A project built in SQL and Power BI to analyze "Sales Insights" of the company.

03_movie_recommendation_system

Here is a detailed explanation of creating a Movie Recommender System using Python with the help of Correlation.

air-quality-index

An end-to-end data science project to check the air quality of a city. Performing data gathering (web scraping), feature engineering, feature selection, and implementing Linear Regression, K Nearest Neighbor, Decision Tree, Random Forest Regressor, XGBoost. Will test the accuracy and deploy the model in the cloud.

automated-machine-learning

Machine Learning is the most popular technology in current times!!! It is currently utilized in almost every field imaginable which has pushed its importance infinitely. But what about those who don’t know Machine Learning as well? That’s where Automated machine learning or AutoML comes in! Automated machine learning (AutoML) basically involves automating the end-to-end process of applying machine learning to real-world problems that are actually relevant in the industry. In recent years, it has been noticed as well as proven time and time again that ML or machine learning is the key to the future. It is understandable that this is an up and coming technology that allows for various directions of research, analysis, and implementation.

awesome-kubernetes

A curated list for awesome kubernetes sources :ship::tada:

ckad-exercises

A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation

ckad-practice-questions

This is a consolidated list for CKAD practice questions

ckad-prep-notes

List of resources and notes for passing the Certified Kubernetes Application Developer (CKAD) exam.

credit-card-anomaly-detection

This is a repository containing a Data Science Project on Credit Card Anomaly Detection. I took the data set from www.kaggle.com and performed Exploratory Data Analysis on the the data set. I learned two new Algorithms inorder to successfully complete the project.

curriculum

📚Open Source Curriculum for CNCF Certification Courses

demo-k8s

This is an introduction to kubernetes and my first microservice. Have created a voting app with pods and services.

demo-voting-app.v2

Created a scalable voting app with kubernetes services, and deployment.

docker

A machine learning project to validate bank notes written in Python using Sklearn, Pickle and Flask. The goal of building this project was to learn Flask framework and dockerize the application.

dockers

easy-application

Over 400 software engineering companies that are easy to apply to

eda_using_sweetviz

A powerful library to build visualization with minimal code. You will see that performing Exporative Data Analysis was never so easy!

exploring-matplotlib

Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK+.

exploring-pandas

pandas aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language.

exploring-seaborn

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

feature-engineering

A step-by-step guide to performing feature engineering in Python. I have downloaded a 'Titanic.csv' data set/file from Kaggle and implemented techniques on it. This project has helped me to structure and organize my understanding of feature engineering.

flight-pricing-prediction

Implementing a end-to-end project

k8s-the-easy-way

Tips and Tricks on Kubernetes

learning-scala

Scala is a general-purpose programming language providing support for functional programming and a strong static type system. In this repository I am uploading files that taught me the basics!!

logistic-regression

Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data coded as 1 (yes, success, etc.) or 0 (no, failure, etc.).

machine-learning

A repository that starts with brushing up python, performing EDA using libraries like Pandas, Numpy, Matplotlib and Seaborn. In future, I will be uploading several projects that I will be learning and implementing. I believe these projects will be end-to-end.

machine-learning-in-90-days

meditation-app

Created a 'meditation app' using HTML, CSS and JavaScript. Meditation is a practice where an individual uses a technique – such as mindfulness, or focusing the mind on a particular object, thought, or activity – to train attention and awareness, and achieve a mentally clear and emotionally calm and stable state.

movie-recommender-in-python

python-learning-phase

Personal repository where I wish to experiment my python and mathematics knowledge to solve complex puzzles as well as different mechanical engineering related workarounds.