hanenia / datafun-07-applied

datafun-07-applied

Finial Project

Hanna Anenia

02/17/2024

In this final module, will show machine learning (ML). At a high-level, that has three general categories of ML: supervised, unsupervised, and reinforcement learning. We'll employ a type of supervised learning, simple linear regression, to train a model and use the resulting model (a "best-fit" straight line) to make predictions.

Inculde

. Build a model . Make predictions . Visualize the model . Publish your insights

Environment Setup and How to Install and Run the Project

1.Create and clone repository to VSCode

datafun-07-applied.ipynb

2. Clone the repository to your local machine.

git clone https://github.com/hanenia/datafun-07-applied/tree/main

3. Create and Activate Virtual Environment

source .venv/bin/activate

4. Create a Project Virtual Environment in the .venv folder.

python3 -m venv .venv

5. Activate the Project Virtual Environment.

6. freeze your requirements to requirements.txt.

py -m pip install requests py -m pip freeze > requirements.txt Git Ignore Add a useful .gitignore to the root project folder.

7.Install dependencies in .venv

CC7.4 Start a New Jupter Notebook

1.1 Start the Project Open datafun-07-applied Open a terminal in your root project repository folder and rin geit pull Creat new notebook name :hanna_ml.ipynb add Python cell and import pip intall jupyterlab pip install pandas pip install pyarrow pip install matplotlib pip intasll seaborn pip install scipy pip install stats

CC 7.5: Chart a Straight Line

.Complete the steps on page 414

CC 7.6: Predict Avg High Temp in NYC in January (Part 2)

Section 1 - Data Acquisition Section 2 - Data Inspection Section 3 - Data Cleaning Section 4 - Descriptive Statistics Section 5 - Build the Model Section 6 - Predict Section 7 - Visualizations

CC 7.7: Predict Avg High Temp in NYC in January (Part 3)

Section 1 - Data Acquisition Section 2 - Data Inspection Section 3 - Data Cleaning Section 4 - Descriptive Statistics Section 5 - Build the Model Section 6 - Predict Section 7 - Visualizations

CC 7.8: Add Your Insights (Part 4)

Optional Bonus

Complete Official Course Evaluation