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Ninad077/README.md

Hi, I'm Ninad πŸ‘‹

Typing SVG

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🧭 About Me

  • πŸ”­ I'm into Python, Machine Learning, Deep Learning & Quant tooling
  • πŸ“ I write about ML on Medium
  • πŸ“‚ All my Data Science projects live at github.com/Ninad077
  • ⚑ Fun fact: I'm a Potterhead πŸͺ„

πŸš€ Featured Projects

🌐 Eclipse

Open source web app teaching Python preprocessing, ML & DL from scratch.


πŸ’‘ Trouble rendering a notebook on GitHub? Paste the repo URL into nbviewer.org.

πŸ”₯ Fyrefly

A Quant-based Python library for flexible math operations and SQL-powered data analysis β€” every function takes any number of arguments, and data flows straight from CSV/Excel/Google Sheets into real SQL queries.

pip install fyrefly
from fyrefly import add, mul, div, mod
from fyrefly import load, loadh, loadc, loads, sql, xtract

# Math β€” any count of arguments
add(5, 4, 6, 10)   # 25
mod(17, 5)         # 2

# Data β€” load, preview, query with real SQL, export
c = load("data.csv")
loadh(c)                              # preview headers
sql("select * from c where age > 30")
xtract(sql("select * from c"))        # export result to CSV

πŸ› οΈ Languages & Tools


πŸ“Š GitHub Stats

GitHub Streak

Trophies


πŸ“« Reach me: ninadmandavkar28@gmail.com

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  1. Machine_Learning-Linear_Regression Machine_Learning-Linear_Regression Public

    Content: Machine Learning (Overview & Process Flow), Linear Regression concept, Assumption checking, Linearity, Multi co-linearity, Auto correlation, Outliers, Null value treatment, EDA, Splitting …

    HTML

  2. Python_Exploratory_Data_Analysis-EDA Python_Exploratory_Data_Analysis-EDA Public

    Content: Plotting_line_&_bar_graphs_using_plt_&_sns, labelling_the_axes_&_titles, groupby_function, count_value_function, dropping_a_column, Exploratory_data_analysis_(EDA), Data_preprocessing

    Jupyter Notebook

  3. Python_Null_value_treatment_and_Statistical_functions Python_Null_value_treatment_and_Statistical_functions Public

    Content: Data_preprocessing, Head_&_Tail_functions, Fetching_a_coulmn, extracting_column_info_&_dtypes, Statistical_functions_(mean, median & mode), Null_value_treatment, unique_value_treatment

    Jupyter Notebook

  4. Python_Outliers_and_Correlation Python_Outliers_and_Correlation Public

    Content: Eliminating Outliers using Boxplot, Checking correlation using Scatter plot & Heat map, Types of Correlation, EDA, Data preprocessing

    Jupyter Notebook