ML-PROJECT-

Predicting and plotting the actual vs predicted stalk

📘 Installation Guide for ML-PROJECT-

🔧 Prerequisites

• Python: Version 3.8 or higher
• pip: Latest version recommended
• Git: For cloning the repository
• Jupyter Notebook: To run .ipynb files

Optional but recommended:

• Virtual environment (e.g., venv or conda) to isolate dependencies.

---

📂 Step 1: Clone the Repository

git clone https://github.com/shivansh31414/ML-PROJECT-.git
cd ML-PROJECT-

---

📦 Step 2: Set Up Virtual Environment

Using venv:

python3 -m venv venv
source venv/bin/activate   # On Linux/Mac
venv\Scripts\activate      # On Windows

Using conda:

conda create -n mlproject python=3.9
conda activate mlproject

---

📑 Step 3: Install Dependencies

Since the repo doesn’t list dependencies yet, here’s a starter set based on typical ML workflows:

pip install numpy pandas matplotlib scikit-learn jupyter

👉 If you add a requirements.txt later, users can install everything with:

pip install -r requirements.txt

---

▶️ Step 4: Run the Notebook

Launch Jupyter Notebook:

jupyter notebook

Open Untitled13.ipynb and run the cells to:

• Train the model
• Predict stalk values
• Plot actual vs predicted results

---

🧪 Step 5: Verify Installation

• Ensure plots are generated without errors.
• Confirm predictions align with expected outputs.

---

summary

the code in the jupyter notebook helps to import various dataset for stock market train model and make predictions on it

Project Overview

this project as of now is in the devolopment stages we are focusing on to make a stock comparing and analysis tool that lets you pick stocks and analyse them

the dataset

the dataset is used using python librarie yfinance why yfinance and how it contributes to the dataset ? yfinance uses an accronym for different companies this in turn what it does is that it takes that accronym for the company and then gives you stock data for the start and end date as requested by the user

usage example

ideally the project must take the user input company and display its stock report from start date to end date as requested and then also helps plot the data from start date to end date depending upon the users querie