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Building A Big Mart Sales Prediction

Python 3.6 pyforest

• deploying a Machine Learning Model created with Python

• Please do ⭐ the repository, if it helped you in anyway.

Authors

Deployment

1. Data Extraction
2. Exploratory Data Analysis(EDA)
3. Feature Engineering
4. Model Building and Tuning

Installation

To install the libraries used in this project. Follow the below steps:

!pip install pyforest
from pyforest import*
lazy_imports()

from xgboost import XGBRegressor
from sklearn.ensemble import RandomForestRegressor
from sklearn.tree import DecisionTreeRegressor
from sklearn.linear_model import LinearRegression

Running Flask Api

To run tests, run the following command

  python app.py

🚀 About Me

Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data

Hi, I'm Akash! 👋

🔗 Links

github linkedin

Tech Stack

Logo

Other Me

👩‍💻 I’m interested in Petroleum Engineering

🧠 I’m currently learning Data Scientist | Data Analytics | Business Analytics

👯‍♀️ I’m looking to collaborate on Ideas & Data

🛠 Skills

  1. Data Scientist
  2. Data Analyst
  3. Business Analyst
  4. Machine Learning

Future Plans

⚡️ Looking forward to help drive innovations into your company as a Data Scientist

⚡️ Looking forward to offer more than I take and leave the place better than i found