DEVELOPING ML MODEL

Installed Key Python Libraries for Machine Learning Pandas pip install pandas Successfully installed pandas, numpy, python-dateutil, pytz, tzdata, and six. Use: Essential for data manipulation and analysis through DataFrames and Series. Scikit-learn pip install scikit-learn Installed scikit-learn, joblib, scipy, and threadpoolctl. Use: A powerful library for machine learning, including classification, regression, and clustering. Matplotlib pip install matplotlib Installed matplotlib along with dependencies: cycler, kiwisolver, pyparsing, fonttools, pillow, and more. Use: Widely used for creating static, animated, and interactive visualizations in Python. ALGORITHM IRIS DATASET OUTPUT DENSITY_PLOTS HISTOGRAMS git checkout -b feature-24MCR075 Purpose: Creates a new branch named feature-24MCR075 and immediately switches to it. Use case: Ideal when starting work on a new feature, bug fix, or task. Keeps changes isolated from the main branch. git branch Purpose: Lists all the branches in the current repository. Use case: Helps verify which branches exist and highlights the currently checked-out branch with an asterisk (*). git status Purpose: Shows the current status of the working directory and staging area. Use case: Lets you see which files are modified, staged, untracked, or ready to commit. git add . Purpose: Adds all modified and new files in the current directory (and subdirectories) to the staging area. Use case: Prepares all changes to be included in the next commit. git push origin feature-24MCR075 Purpose: Pushes the feature-24MCR075 branch and its commits to the remote repository (origin). Use case: Shares your branch with others or uploads it to platforms like GitHub/GitLab for collaboration or pull requests.

Apr 24, 2025 - 12:53

Installed Key Python Libraries for Machine Learning

Pandas
pip install pandas
Successfully installed pandas, numpy, python-dateutil, pytz, tzdata, and six.
Use: Essential for data manipulation and analysis through DataFrames and Series.

Scikit-learn
pip install scikit-learn
Installed scikit-learn, joblib, scipy, and threadpoolctl.
Use: A powerful library for machine learning, including classification, regression, and clustering.

Matplotlib
pip install matplotlib
Installed matplotlib along with dependencies: cycler, kiwisolver, pyparsing, fonttools, pillow, and more.
Use: Widely used for creating static, animated, and interactive visualizations in Python.

ALGORITHM

IRIS DATASET

OUTPUT

DENSITY_PLOTS

HISTOGRAMS

git checkout -b feature-24MCR075

Purpose: Creates a new branch named feature-24MCR075 and immediately switches to it.
Use case: Ideal when starting work on a new feature, bug fix, or task. Keeps changes isolated from the main branch.

git branch

Purpose: Lists all the branches in the current repository.
Use case: Helps verify which branches exist and highlights the currently checked-out branch with an asterisk (*).

git status

Purpose: Shows the current status of the working directory and staging area.
Use case: Lets you see which files are modified, staged, untracked, or ready to commit.

git add .

Purpose: Adds all modified and new files in the current directory (and subdirectories) to the staging area.
Use case: Prepares all changes to be included in the next commit.

git push origin feature-24MCR075

Purpose: Pushes the feature-24MCR075 branch and its commits to the remote repository (origin).
Use case: Shares your branch with others or uploads it to platforms like GitHub/GitLab for collaboration or pull requests.