Assignments

Take a couple of quiet minutes to look back on what happened. Then Start Assignment and share a few thoughts about each question: Your experiment & what happened to your energy: What did you try – and what did you notice about your energy? Your experience: What worked better than expected – and what got

You are partway through your one-week experiment. Take a minute to check in with yourself before you carry on: What has been working so far? What have you struggled with? What will you keep vs adjust for the rest of the week? When you are ready, Start Assignment and share your thoughts on these on

Congratulations on choosing an experiment. You are one step closer to finding something that could work for you! In this section, you can write down some details on your experiment. You don’t need to redesign your whole life. Use what you learned in your track to design one small, realistic experiment: Practice choice (WHAT): choose one

Download the Titanic or Iris dataset from a public source. Clean the data (handle missing values and data types), then create 3 visualizations: a bar chart, a histogram, and a scatter plot. Write a short 200-word summary of your key findings. Submit your Jupyter Notebook (.ipynb) file.

Using a provided dataset, complete a full machine learning project. Tasks Choose an appropriate machine learning model for the dataset. Split data into training and testing sets. Train the model using Scikit-Learn. Evaluate performance using appropriate metrics. Present findings and recommendations in a written summary. Submission Jupyter Notebook PDF Report Model Evaluation Summary (accuracy, RMSE,

Analyze a retail sales dataset and create visualizations that communicate key business insights. Tasks Create one bar chart showing category performance Create one line chart showing sales over time Create one histogram showing value distribution Provide written insights explaining: Sales trends Top-performing categories Seasonal patterns Submission Jupyter Notebook PDF Export Charts as PNG files

You have been provided a CSV file containing student exam scores. Tasks Load the dataset using Pandas. Display the first 10 rows. Calculate average scores. Identify the highest-performing student. Write a short summary of your findings. Submission Python Notebook (.ipynb) PDF Report

Create a personal portfolio page using HTML & CSS. It must include at least 3 sections: About Me, Projects, and Contact. Use at least one Google Font, apply a color scheme using CSS variables, and make sure the layout uses Flexbox. Submit your HTML and CSS files as a ZIP.