Description
Complete Data Science & Machine Learning Masterclass: Python, AI, Text Mining & Cloud Tools
Requirements
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Basic arithmetic knowledge ( +, –, ×, ÷ )
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Basic familiarity with Windows, Linux, macOS, or similar operating systems
Course Description
Unlock the world of Data Science and Machine Learning with this comprehensive, hands-on masterclass designed for both beginners and experienced learners. As Data Science, Machine Learning, and Artificial Intelligence continue to transform industries globally, this course gives you the essential skills and practical knowledge needed to thrive in today’s data-driven world.
This program covers core fundamentals, advanced algorithms, real-world workflows, and automated AI techniques, making it one of the most complete Data Science courses available.
What You’ll Learn
1. Regression & Predictive Modeling (Supervised Learning)
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Build and evaluate regression models
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Understand linear, multivariate, and polynomial regression
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Apply automatic Machine Learning algorithms for feature selection and model optimization
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Learn master-level regression techniques used in real-world prediction tasks
2. Classification Techniques (Supervised Learning)
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Understand classification workflows and key concepts
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Use powerful models like Random Forest Classifiers and Voting Classifier Ensembles
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Create classification visualizations and evaluate model performance
3. Cluster Analysis (Unsupervised Learning)
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Learn core concepts of unsupervised learning and cluster theory
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Perform data exploration and cluster evaluation
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Work with seven popular clustering algorithms, including hierarchical and density-based models
4. Data Science & Machine Learning Foundations
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Strong theoretical understanding of ML algorithms, workflows, and best practices
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A solid base for future jobs, academic studies, or advanced research
5. Advanced A.I. & Automated Model Creation
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Learn to use powerful algorithms for auto-model building
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Master advanced approaches for prediction and optimization
6. Advanced Text Mining & Natural Language Processing
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Text preprocessing: tokenization, spell checking, stemming, lemmatization
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Emotion mining and text classification
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Build text-based ML and AI applications
7. Master Python for Data Science
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Beginner-friendly introduction to Python
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Step-by-step guidance to handle data using Python
8. Master Pandas for Data Handling
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Learn how to clean, manipulate, and analyze data using Pandas
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Build professional-level data pipelines
Cloud Computing & Tools Covered
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Learn to use Anaconda Cloud Notebook (Cloud-based Jupyter)
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Optional guide for setting up Python and Anaconda locally
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Hands-on training with:
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Scikit-learn
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Statsmodels
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Matplotlib
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Seaborn
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Many more essential Python libraries
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Course Features
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Complete, easy-to-follow Python & Pandas learning package
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Suitable for beginners with no prior coding experience
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Large collection of unique and exclusive educational content
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Compact, professionally structured course with no unnecessary filler
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Hands-on projects for real-world learning
Is This Course Right for You?
This course is perfect for:
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Beginners with zero Data Science experience
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Students or professionals looking to build ML skills
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Experienced Data Scientists wanting deeper, practical mastery
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Anyone from non-technical backgrounds to Ph.D. holders
After Completing This Course, You Will Gain
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Strong theoretical and practical understanding of Data Science & ML
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Confidence in performing real-world ML tasks
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Mastery of Python, Pandas, and essential data libraries
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Deep knowledge of regression, classification, and clustering
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Expertise in advanced AI models and automated ML
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Practical skills in text mining, NLP, and emotion analysis
Who This Course Is For
Anyone who wants to learn Data Science and Machine Learning—whether you’re a complete beginner, a student, or a seasoned professional.
Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.

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