TECH ACADEMY

Course / Course Details

Predictive Analytics and Machine Learning | Assignment & Project

Data Science

By - TECH ACADEMY
1 students
N/A
(0)

Course Requirements

Prerequisites:

Basic understanding of Python or R programming
Fundamentals of statistics and probability
Introductory knowledge of data analysis and visualization
Familiarity with linear algebra and calculus (basic concepts)

Software & Tools:

Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch optional)
Jupyter Notebook or Google Colab
Data visualization tools (Matplotlib, Seaborn, Plotly)
Excel or SQL for data manipulation

Assignments & Projects:

Hands-on assignments: Focused on real-world datasets to apply predictive modelling techniques.
Capstone project: End-to-end machine learning project including data pre-processing, model development, evaluation, and presentation of insights.

Course Description

This course provides an in-depth exploration of predictive analytics and machine learning techniques applied to real-world datasets. Students will learn to design, implement, and evaluate predictive models using modern tools and frameworks. Through hands-on assignments and projects, the course emphasizes practical application, critical thinking, and data-driven decision-making. Key topics include supervised and unsupervised learning, model evaluation, feature engineering, and advanced predictive modelling strategies. By the end of the course, students will be equipped to solve complex problems and derive actionable insights from large-scale datasets.

Course Outcomes

Upon completion of the course, students will be able to:

Apply advanced predictive analytics and machine learning techniques to structured and unstructured data.
Build, validate, and optimize machine learning models for real-world applications.
Perform data preprocessing, feature engineering, and exploratory data analysis efficiently.
Interpret model results and communicate actionable insights clearly to stakeholders.
Execute an end-to-end data science project independently, demonstrating practical problem-solving skills.
Access and leverage the Advanced Data Science Professional Certificate Course to further enhance their professional credentials.

Course Curriculum

6 chapters
10 lectures
0 quizzes
N/A total length

Toggle all chapters

1 Data Exploration & Visualization

Preview

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1 Regression Modeling

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1 Classification Modeling

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1 Clustering / Segmentation

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1 Time Series Forecasting

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1 Customer Churn Prediction

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2 .Sales Forecasting / Demand Prediction

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3 Credit Risk Prediction

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4 Predictive Maintenance

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5 Healthcare Predictive Analytics

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Instructor

As the Super Admin of our platform, I bring over a decade of experience in managing and leading digital transformation initiatives. My journey began in the tech industry as a developer, and I have since evolved into a strategic leader with a focus on innovation and operational excellence. I am passionate about leveraging technology to solve complex problems and drive organizational growth. Outside of work, I enjoy mentoring aspiring tech professionals and staying updated with the latest industry trends.

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