Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy
https://instats.org/seminar/machine-learning-in-practice-hands-on-w2?utm_source=dresa
Description:
This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights.
Start: Friday, 28 February 2025 @ 02:00
End: Saturday, 01 March 2025 @ 08:00
Timezone: Sydney
Learning Objectives:
Topics Covered
Loading Data , Pandas Series and DataFrames , Inspect DataFrame , Handling Missing Data , Data Type Conversion , Creating Buckets , Numerical EDA , Descriptive Statistics , Correlation Analysis , Categorical EDA , Data Visualization , Seaborn Library , Exploratory Data Analysis (EDA) , Model Fitting , Model Predictions , Iterative Improvements , Regularization , Regression Metrics , Linear Regression , Dummy Variable Creation , Logistic Regression Basics , Classification Metrics , Class Imbalance , Unsupervised Learning , Feature Scaling , Instantiating KMeans , Cluster Creation , Silhouette Score , K-means , Input and Output Layers , Activation Functions , Neural Net Diagram , Neural Net Applications , Neural Net Architecture , CNNs and RNNs , Neural Networks , Import Packages , Data Preparation , Training Model , Result Evaluation , Selecting Hyperparameters , Model Buidling Steps , Introducing Scikit-learn , Train-Test Split , Missing Data , Model Instatiation
- Open to all
Organiser: Kimberly Fessel, Dr Kim Data | Data Science Consultancy
Contact: info@instats.org
Host institution: Instats
Cost Basis: Free to all
