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  1. prodigy-DS-task_01 prodigy-DS-task_01 Public

    Create a bar chart or histogram to visualize the distribution of a categorical or continuous variable, such as the distribution of ages or genders in a population.

  2. prodigy-DS-Task_03 prodigy-DS-Task_03 Public

    To build a decision tree classifier for predicting customer purchases using the Bank Marketing dataset, first preprocess the data by handling missing values and encoding categorical variables. Next…

  3. prodigy-DS_TASK_02 prodigy-DS_TASK_02 Public

    Perform data cleaning and exploratory data analysis (EDA) on a dataset of your choice, such as the Titanic dataset from Kaggle. Explore the relationships between variables and identify patterns and…

    Jupyter Notebook

  4. prodigy_DS_TASK_04 prodigy_DS_TASK_04 Public

    Analyze and visualize sentiment patterns in social media data to understand public opinion and attitudes towards specific topics or brands.

  5. codesoft-DS-task-01 codesoft-DS-task-01 Public

    Use the Titanic dataset to build a model that predicts whether a passenger on the Titanic survived or not. This is a classic beginner project with readily available data.

    Jupyter Notebook

  6. codesoft-DS-task-2 codesoft-DS-task-2 Public

    Movie Rating Prediction project enables you to explore data analysis, preprocessing, feature engineering, and machine learning modeling techniques. It provides insights into the factors that influe…

    Jupyter Notebook