FreeCourse Logo
FreeCourse.io
Verified CouponsFree CoursesJobsBlog
Categories
Home/Courses/Mastering Data Science & AI with Python & Real-World Project
Mastering Data Science & AI with Python & Real-World Project
Development100% OFF

Mastering Data Science & AI with Python & Real-World Project

Udemy Instructor
4(4.9K students)
Self-paced
All Levels

About this course

Unlock the full potential of data science and artificial intelligence with “Mastering Data Science & AI with Python”—a comprehensive, beginner-to-advanced course designed to transform you into a job-ready data scientist and AI developer. Whether you're just starting your coding journey or looking to upskill and build real-world AI-powered applications, this course covers everything you need in one complete package.We begin with the fundamentals of Python, ensuring you're well-equipped with programming basics and critical libraries like NumPy and Pandas. You'll quickly progress to manipulating and analyzing data efficiently, including accessing, cleaning, and filtering DataFrames.

Learn how to visualize your insights with powerful charts and graphs that bring your data to life.From there, you’ll dive deep into statistics for data science, the cornerstone for understanding machine learning. You'll master core statistical concepts essential for model development and evaluation. The machine learning section then takes you through supervised and unsupervised learning—covering regression, binary and multiclass classification, clustering algorithms, and dimensionality reduction techniques like t-SNE and PCA.Hands-on practice is the heart of this course.

You’ll complete 9 end-to-end projects that simulate real industry scenarios:Automate business workflows with PandasAnalyze large datasets with Google AppsBuild a movie recommendation engine using Non-negative Matrix FactorizationDevelop predictive models and evaluate them using advanced techniquesBuild and deploy a credit risk prediction app with XGBoost and StreamlitCreate LLM-powered AI apps using Ollama, LangChain, and Streamlit—no cloud requiredImplement local Python libraries for AI interactionsWhat truly sets this course apart is its focus on local LLMs and AI automation tools. You’ll explore cutting-edge frameworks like Ollama, interact with models through Web UI, LM Studio, and even build your own AI Code Assistant and RAG-based AI Research App—equipping you with the skills to develop, test, and deploy modern AI systems without relying on expensive APIs or cloud services.All modules are crafted with a blend of theory, code-alongs, and practical exercises. You'll walk away not only with technical knowledge but also a portfolio of working applications that showcase your expertise in Python programming, machine learning, and AI.By the end of this course, you will be able to:Code in Python with confidenceAnalyze, visualize, and model data effectivelyUnderstand and implement ML algorithms from scratchBuild real-world projects that demonstrate your skillsDevelop and deploy AI apps using local LLMs and tools like Ollama and StreamlitThis course is ideal for aspiring data scientists, developers, and AI enthusiasts eager to build practical, high-impact solutions.

If you're looking to transition into tech, upgrade your skills, or break into AI development, this is the only course you’ll need.

Skills you'll gain

Data ScienceEnglish

Available Coupons

Loading...

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

  • 📹Video lectures
  • 📄Downloadable resources
  • 📱Mobile & desktop access
  • 🎓Certificate of completion
  • ♾️Lifetime access
$0$97.99

Save $97.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/data-science-ai-agent-pyth-project-llm-finetuning-ollama-gpt-apps

You May Also Like

Explore more courses similar to this one

ML & MLOps Masters 2026 - Build, Train, Evaluate, Deployment
Development
0% OFF

ML & MLOps Masters 2026 - Build, Train, Evaluate, Deployment

Udemy Instructor

Welcome to ML & MLOps Masters 2026 - Build, Train, Evaluate & Deploy Models! This course is designed for learners who want to master the full machine learning lifecycle—from Python and statistics through modeling (classification, regression, clustering, and time series) to production-grade deployment using MLOps.Whether you’re starting out or already know the basics, you’ll learn how to build accurate models, evaluate them properly, and then package them into real pipelines that can be monitored, retrained, and improved over time.What You Will LearnIn this Masters program, you will develop practical skills across:Python for ML: Write production-minded Python code for data and ML workflowsStatistics for Modeling: Distributions, hypothesis testing, uncertainty, and assumptions that impact MLData Prep & EDA: Explore, clean, and transform datasets for reliable trainingSQL (optional but applied): Query and shape data efficiently for ML use casesMachine Learning Core: Train, validate, and tune models that actually performClassification / Regression / Clustering: Choose algorithms and metrics correctlyTime Series & Forecasting: Handle temporal data and build forecasting pipelinesModel Evaluation & Validation: Metrics, cross-validation, leakage prevention, and model diagnosticsMLOps Foundations: Model packaging, deployment patterns, versioning, and pipeline structureMonitoring & Retraining: Detect drift, evaluate performance in production, and improve modelsReal-World Project Development: Build end-to-end systems you can showcaseProjects You Will BuildYou’ll work on multiple projects that mirror real business and technical needs. Example project directions include:Cancer Risk AssessmentChurn PredictionCourse StructureThe course is delivered through modules designed to build momentum and ensure you retain everything you learn:Video lessons (concept + implementation)Hands-on coding exercisesQuizzes and checkpointsProject-based learning (your portfolio grows module by module)ConclusionBy the end of ML & MLOps Masters 2026 - Build, Train, Evaluate & Deploy Models, you won’t just “know ML”—you’ll know how to ship ML: build strong models, evaluate them with confidence, deploy them reliably, and maintain them using real MLOps practices.Enroll now and start building models that work in production.

0.0•1•Self-paced
FREE$101.99
Enroll
Machine Learning, AI & Neural Networks: A Complete Course
Development
0% OFF

Machine Learning, AI & Neural Networks: A Complete Course

Udemy Instructor

Machine Learning, AI & Neural Networks: A Complete CourseLearn Machine Learning, AI & Neural Networks from scratch and gain the skills needed to build intelligent systems used in real-world applications. This comprehensive course is designed to help beginners, professionals, and aspiring AI engineers understand how modern Artificial Intelligence works and how to apply it effectively.In this course, you will explore the fundamentals of Machine Learning, AI & Neural Networks, including data driven learning, algorithm selection, model training, and performance evaluation. You’ll also dive into neural networks and deep learning concepts that power today’s most advanced technologies such as self driving cars, recommendation engines, voice assistants, and image recognition systems.What This Course CoversIntroduction to Machine Learning, AI & Neural NetworksSupervised, unsupervised, and reinforcement learning techniquesNeural networks, deep learning, and model optimizationPractical AI applications and real-world use casesUnderstanding how AI systems learn, adapt, and improveTools and best practices for building scalable AI solutionsWho This Course Is ForBeginners with no prior AI or machine learning experienceStudents and professionals looking to enter the AI fieldDevelopers and data enthusiasts wanting to master Machine Learning, AI & Neural NetworksBusiness professionals seeking to understand AI driven decision makingWhy EnrollIn-demand skills for today’s job marketClear explanations with hands-on learning examplesLifetime access and practical knowledge you can apply immediatelyStrong foundation for advanced AI, deep learning, and data science careersBy the end of this course, you will confidently understand and apply Machine Learning, AI & Neural Networks to solve real problems and advance your career in Artificial Intelligence.Enroll now and start mastering the future of technology with Machine Learning, AI & Neural Networks.

0.0•2.0K•Self-paced
FREE$103.99
Enroll
Telecom Customer Churn Prediction in Apache Spark (ML)
Development
0% OFF

Telecom Customer Churn Prediction in Apache Spark (ML)

Udemy Instructor

Apache Spark Started as a research project at the University of California in 2009, Apache Spark is currently one of the most widely used analytics engines. No wonder: it can process data on an enormous scale, supports multiple coding languages (you can use Java, Scala, Python, R, and SQL) and runs on its own or in the cloud, as well as on other systems (e.g., Hadoop or Kubernetes).In this Apache Spark tutorial, I will introduce you to one of the most notable use cases of Apache Spark: machine learning. In less than two hours, we will go through every step of a machine learning project that will provide us with an accurate telecom customer churn prediction in the end. This is going to be a fully hands-on experience, so roll up your sleeves and prepare to give it your best!First and foremost, how does Apache Spark machine learning work?Before you learn Apache Spark, you need to know it comes with a few inbuilt libraries. One of them is called MLlib. To put it simply, it allows the Spark Core to perform machine learning tasks – and (as you will see in this Apache Spark tutorial) does it in breathtaking speed. Due to its ability to handle significant amounts of data, Apache Spark is perfect for tasks related to machine learning, as it can ensure more accurate results when training algorithms.Mastering Apache Spark machine learning can also be a skill highly sought after by employers and headhunters: more and more companies get interested in applying machine learning solutions for business analytics, security, or customer service. Hence, this practical Apache Spark tutorial can become your first step towards a lucrative career!Learn Apache Spark by creating a project from A to Z yourself!I am a firm believer that the best way to learn is by doing. That’s why I haven’t included any purely theoretical lectures in this Apache Spark tutorial: you will learn everything on the way and be able to put it into practice straight away. Seeing the way each feature works will help you learn Apache Spark machine learning thoroughly by heart.I will also be providing some materials in ZIP archives. Make sure to download them at the beginning of the course, as you will not be able to continue with the project without it.And that’s not all you’re getting from this course – can you believe it?Apart from Spark itself, I will also introduce you to Databricks – a platform that simplifies handling and organizing data for Spark. It’s been founded by the same team that initially started Spark, too. In this course, I will explain how to create an account on Databricks and use its Notebook feature for writing and organizing your code.After you finish my Apache Spark tutorial, you will have a fully functioning telecom customer churn prediction project. Take the course now, and have a much stronger grasp of machine learning and data analytics in just a few hours!Spark Machine Learning Project (Telecom Customer Churn Prediction) for beginners using Databricks Notebook (Unofficial) (Community edition Server) In this Data Science Machine Learning project, we will create Telecom Customer Churn Prediction Project using Classification Model Logistic Regression, Naive Bayes and One-vs-Rest classifier few of the predictive models.Explore Apache Spark and Machine Learning on the Databricks platform.Launching Spark ClusterCreate a Data PipelineProcess that data using a Machine Learning model (Spark ML Library)Hands-on learningReal time Use Case Publish the Project on Web to Impress your recruiter Graphical  Representation of Data using Databricks notebook.Transform structured data using SparkSQL and DataFramesTelecom Customer Churn Prediction a Real time Use Case on Apache SparkAbout Databricks: Databricks lets you start writing Spark ML code instantly so you can focus on your data problems.

3.7•5.4K•Self-paced
FREE$88.99
Enroll
FreeCourse LogoFreeCourse

Freecourse.io brings you high-quality online courses with free certificates to help you upskill, boost your career, and achieve your goals anytime, anywhere.

Resources

  • Courses
  • Jobs
  • Categories
  • Features

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy
  • Terms
  • Cookies
  • Licenses

© 2026 FreeCourse. All rights reserved.