Machine Learning Fundamentals

Build a strong foundation in predictive modeling. Learn to extract insights from data and train robust machine learning models using Python and Scikit-Learn.

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What You'll Learn

Data preprocessing, handling missing values, and feature scaling
Supervised learning: Linear Regression, Logistic Regression, SVMs
Tree-based models: Decision Trees, Random Forests, XGBoost
Unsupervised learning: K-Means clustering, PCA, Anomaly detection
Model evaluation: Cross-validation, precision, recall, ROC-AUC
Hyperparameter tuning and model deployment basics

Curriculum

This module focuses on python data science stack and includes guided learning outcomes.

Who This Is For

Data analysts transitioning to data science, and software developers who want a rigorous introduction to predictive modeling algorithms.

Career Outcomes

Junior Data Scientist

$95,000–$130,000/yr

Machine Learning Analyst

$90,000–$125,000/yr

Student Reviews

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"The Power BI training at Seasoft was unlike anything I'd tried before. The instructor didn't just teach the tool - he walked us through real business scenarios from his own consulting projects. I went from zero BI knowledge to landing a Sr. Power BI Developer role in under three months."

Suresh R.

Power BI Developer

Dallas, TX

"I was working as a nurse and wanted to pivot into the healthcare IT space. Seasoft's Drug Safety Associate program was exactly what I needed. The curriculum covered pharmacovigilance end-to-end, and the placement team helped me get my first interview within weeks of completing the course."

Meena A.

Drug Safety Associate

Chicago, IL

4.7

Based on 319 reviews

5 Star
76%
4 Star
12%
3 Star
6%
2 Star
4%
1 Star
2%

Frequently Asked Questions

Have questions before enrolling? Here are quick answers to what learners ask most often.

Basic statistics and algebra are helpful, but we focus primarily on applied coding and conceptual intuition.

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