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Hi 👋, I'm Yash Saxena

I am a passionate data analyst, coder and an enthusiast. I love working with hidden data to extract meaningful insights. Am also a Computer Science geek and love to explore related technological stuff.

Coding

saxenayashk

syash8627

  • 💬 Ask me about Exploratory Data Analysis , Machine Learning and Statistical Computing

  • 📫 How to reach me [email protected]

  • ⚡ Fun fact I am Funny

Connect with me:

syash8627 yash-saxena-987a54187 @yashsaxena341 yashsaxena2019

Languages and Tools:

c chartjs cplusplus d3js django java mongodb mysql opencv pandas python rust scikit_learn seaborn

saxenayashk

 saxenayashk

saxenayashk

Yash Saxena's Projects

data-analyst-roadmap icon data-analyst-roadmap

I am sharing my Journey of 66DaysofData into Data Analytics by participating in Ken Jee's #66daysofdata challenge

data-visual-python icon data-visual-python

I have done Data Visualization on Diabetes Dataset with the help of Seaborn and Matplotlib Python Library.

decision-tree-implementation icon decision-tree-implementation

I have taken red vinho verde wine samples to model wine quality based on physicochemical tests with the help of Decision Trees.

diabetes_eda icon diabetes_eda

I have perform Exploratory Data Analysis on the Diabetes Dataset

fitbit_eda icon fitbit_eda

I have done Exploratory Data Analysis on FitBit Dataset.

joins_mysql icon joins_mysql

I have performed Join Operations on StudentInfo and StudentCourse Tables in MySQL Workbench.

ml-roadmap-for-2023 icon ml-roadmap-for-2023

A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months

mysql_pr icon mysql_pr

I have performed MySQL Queries on Worker , Bonus and Title Tables to acquire certain output for the requested Queries.

oops_python icon oops_python

I have implemented all the OOPs Concepts in Python.

outlier-detection- icon outlier-detection-

I have created a jupyter notebook file to detect and remove outliers from various datasets

pivot-table_pandas icon pivot-table_pandas

I have demonstrated the practical usability of pivot-table pandas method by taking the tips dataset from seaborn.

sales-analysis-sql icon sales-analysis-sql

I have created a Sales Analysis Project and performed SQL Operations in it with the help of Python

spotify_eda icon spotify_eda

Done Exploratory Data Analysis (EDA) to analyze the behavior between valence and all the measures that Spotify API gives so I got approximately 10,000 per genre. There are 26 genres so it is a total of 232,725 tracks.

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