Python for Data Science & Machine Learning

(5 customer reviews)

129.01

Master Python for data science and machine learning with hands-on experience in data manipulation, visualization, and model building. Learn to work with Pandas, NumPy, Matplotlib, Scikit-Learn, TensorFlow, and Keras. Explore supervised and unsupervised learning, deep learning, and predictive modeling. Work with real-world datasets and deploy models using Flask or Streamlit. Develop a strong foundation in data analysis and AI-driven solutions.

Description

This course is tailored for those interested in leveraging Python for data science and machine learning. It covers essential Python programming skills, data manipulation with Pandas and NumPy, and data visualization with Matplotlib and Seaborn. The course introduces machine learning concepts, including supervised and unsupervised learning, regression, classification, clustering, and deep learning with TensorFlow and Keras. Students will work with real-world datasets to build predictive models and deploy them using Flask or Streamlit. The course also covers data preprocessing, feature engineering, model evaluation, and optimization techniques. By the end of the course, learners will have built multiple machine learning models, gaining expertise in applying AI-driven solutions.