Udemy - Welcome To Data Science

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Udemy - Welcome To Data Science (Size: 3.6 GB)
  1 - Ethical Considerations in AI.html 7.5 KB
  1 - Fine-tuning Pre-trained Models.html 8.4 KB
  1 - Introduction to LLMs and Foundation Models.html 8.9 KB
  1 - Major Roles in Data Science.html 54.2 KB
  1 - Programming & Software engineering principles.html 21.5 KB
  1 - Prompt Engineering and Few-shot Learning.html 9.5 KB
  1 - Python in Machine learning.html 5.4 KB
  1 - The History of Machine Learning.html 8.2 KB
  1 - Transformers.html 8.7 KB
  1 - What is machine Learning.html 10 KB
  1 -Change How You Job Search How AI Platforms Are Matching Opportunities to Your Skills.url 102.4 B
  1 -Learning Framework.mp4 154.1 MB
  1 -LinkedIn's Professional Dominance in South Africa How LinkedIn's algorithm affects career development.url 102.4 B
  1 -Mathematics for Machine Learning.mp4 130 MB
  1 -Parting Thoughts from Course Instructor.mp4 364.2 MB
  1 -Promotional Video.mp4 34.4 MB
  1 -Section Completed!.mp4 4.7 MB
  1 -The Power of Personal Branding in the Digital Age Productizing Yourself in South Africa and the African Context.url 102.4 B
  1 -What is Your Digital First Impression.url 102.4 B
  1 -What is a Data Scientist.mp4 67.8 MB
  1 -What's all the fuss about Data science; What is it & Why transition into Data science.url 102.4 B
  2 - Algebra for Machine Learning.html 7.6 KB
  2 - Calculus In Data Science.html 4.1 KB
  2 - Course Curriculum.html 11.1 KB
  2 - Essential Concepts.html 7.6 KB
  2 - Introduction to Supervised learning.html 8.7 KB
  2 - Mathematics In MLAI.html 8.7 KB
  2 - Probability and Statistics Essentials.html 5.3 KB
  2 - Python Basics & Libraries.html 7.2 KB
  2 - The Role of AI Engineers vs. Data Scientists.html 20.5 KB
  2 - What is all the fuss about Data Science.html 20.8 KB
  2 -Introduction to Data Science.mp4 107.5 MB
  2 -Supervised learning.mp4 102 MB
  2 -Welcome to Pandas NumPy Matplotlib Seaborn.mp4 58 MB
  2 -What is an Artificial intelligence Engineer.mp4 73 MB
  3 - Data Visualization with Matplotlib.html 4.8 KB
  3 - Data Visualization with Seaborn.html 4.6 KB
  3 - Introduction to Algorithms.html 50.5 KB
  3 - Introduction to Unsupervised Learning.html 10.3 KB
  3 - NumPy and Pandas for Data Manipulation.html 7.1 KB
  3 -Introduction to Statistics and Machine learning in Data Science.mp4 90.2 MB
  3 -Introduction to building an algorithm with Python (Basic).mp4 220.8 MB
  3 -Unsupervised Learning.mp4 189.2 MB
  3 -What is a Machine Learning Engineer.mp4 85.3 MB
  4 - Can we go Deeper Into EDA.html 6.8 KB
  4 - Future of Roles In Machine Learning.html 6 KB
  4 - Important Notice!.html 3 KB
  4 - Introduction to EDA.html 2.4 KB
  4 - What is deep Learning.html 8.9 KB
  4 -An Actual EDA.mp4 409.4 MB
  4 -Deep learning.mp4 119.5 MB
  4 -Programming Languages, Domain Knowledge & Skills Required in Data Science.mp4 103.2 MB
  4 -What is a Data Engineer.mp4 99 MB
  5 - Design, implement, and deploy an end-to-end AI solution.html 8.4 KB
  5 - Ensemble Methods (Random Forests, Gradient Boosting).html 9.8 KB
  5 - Hyperparameter Optimization in AIML.html 7.2 KB
  5 - Introduction To Convolutional Neural Networks (CNNs).html 7.1 KB
  5 - Introduction To Recurrent Neural Networks (RNNs) and LSTMs.html 7 KB
  5 - Introduction to PyTorch Fundamentals.html 6.1 KB
  5 - Introduction to Scikit-learn.html 6.6 KB
  5 - Introduction to TensorFlow and Keras.html 6.2 KB
  5 - Reinforcement Learning.html 9 KB
  5 - Stil An Important Notice!.html 8 KB
  5 - The Future Of EDA with Machine Learning.html 7.5 KB
  5 -Beginner End to End Tutorial Project.mp4 427.1 MB
  5 -Deep Dive into Machine Learning & Statistics in Data Science.mp4 70.3 MB
  5 -End to end Python walkthrough tutorial.mp4 511.5 MB
  6 - Machine Learning & Statistics in Data Science.html 7.1 KB
  6 -Impact of Data Science on Society & Business.mp4 122.2 MB
  6 -Section Completed!.mp4 4.7 MB
  6 -Section Completed.mp4 4.7 MB
  7 -Explainable AI (XAI) & AI Ethics.mp4 129.4 MB
  8 -Section Completed!.mp4 4.7 MB
  Bonus Resources.txt 102.4 B
  Find-me-on-YouTube.url 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 77 total files

Description


Welcome To Data Science

https://WebToolTip.com

Published 7/2025
Created by Lubula Paul Chikwekwe
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 69 Lectures ( 7h 9m ) | Size: 3.6 GB

Master the Fundamentals of Data Science - From Core Concepts to Career Paths in the Data Science Revolution

What you'll learn
Application of Algorithms in Data Science: learners will be capable of applying algorithms in the field of data science.
Machine Learning Fundamentals: Introduction to machine learning concepts & Deep learning
Understand Python for Machine Learning: Students will gain proficiency in using Python and essential libraries (such as NumPy, Pandas, and Matplotlib etc)
Exploratory Data Analysis (EDA): Gain skills in analyzing datasets to discover patterns, trends, and insights.
Proficiency in Implementing Algorithms: Learners will gain proficiency in implementing algorithms in programming, specifically using Python.
Explore Advanced Topics and Ethical Considerations: Participants will explore advanced machine learning topics
Algorithm Design Techniques: Delve into different algorithm design paradigms such as divide and conquer, dynamic programming, and greedy methods.
Understand the Machine Learning Pipeline & Its components
Understand & Experience in Model Training, Deployment, & Operational Best Practices

Requirements
Desire to Learn and research
Beginners in Programming and Data Science
Interest in Data Science, Machine Learning& Artificial Intelligence

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