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Ninad077/README.md

Hi, I'm Ninad 👋

Typing SVG

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🧭 About Me

  • 🔭 I'm into Python, Machine Learning, Deep Learning & Quant tooling
  • 📝 I write about ML on Medium
  • 📂 All my Data Science projects live at github.com/Ninad077
  • ⚡ Fun fact: I'm a Potterhead 🪄

🚀 Featured Projects

🌐 Eclipse

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


💡 Trouble rendering a notebook on GitHub? Paste the repo URL into nbviewer.org.

🔥 Fyrefly

A Quant-based Python library spanning flexible math, financial formulas, equation solvers, trigonometry, SQL-powered data analysis, AI-driven insights, and visualization — every function takes any number of arguments.

pip install fyrefly
from fyrefly import add, mod, si, ap, eqn, sin
from fyrefly import load, sql, ask, viz

# Math & Quant — any count of arguments
add(5, 4, 6, 10)          # 25
si(1000, 2, 5)            # 100.0  (Simple Interest)
ap.tn(2, 3, 4)             # 11     (nth term of an AP)
eqn.q(1, -3, 2)            # roots of x^2 - 3x + 2 = 0
sin(30)                    # 0.5    (degrees by default)

# Data + AI + Viz — load, query with SQL, ask in English, visualize
c = load("data.csv")
sql("select * from c where age > 30")
ask(c, "average salary by department?", api_key="...")
viz.bar("department", "salary")

🛠️ Languages & Tools

📊 GitHub Stats

GitHub Streak

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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