Instructors
Data Science and Machine Learning with Python
170 STUDENTS ENROLLED
Course Description Are you interested in advancing your skills in Data Science and Machine Learning with Python? Look no further …
£29.00
1 day
1 year
Course Description
Are you interested in advancing your skills in Data Science and Machine Learning with Python? Look no further than the Academy of Skills! Our online course is taught by top industry experts and academic professionals, ensuring you receive the most effective techniques to understand the subject thoroughly. This online course: Data Science and Machine Learning with Python, provides a comprehensive introduction to the concepts, tools, and techniques of data science and machine learning using Python programming language. The course covers various topics such as statistics, data analysis, data visualization, machine learning algorithms, and more. Our meticulously researched and prepared course is scientifically organized, taking into account the learner's psychology and overall experience. With bite-sized modules that are audiovisual, simple to comprehend, and interactive, you can expect a rich learning experience. At the Academy of Skills, we prioritize quality and care in our customer service. When you enrol in our online course, you receive full access for 365 days, full tutor support, and 24x7 customer service. Our skilled instructors are dedicated to answering all of your questions and making your learning experience a pleasant one. Plus, upon completing the course, you will receive an electronic certificate that will enhance your expertise and CV, helping you obtain work in the appropriate sector. And there are no hidden costs or examination fees - we are entirely transparent and honest about all of the course costs. Don't miss out on the opportunity to learn from professionals and experts in Data Science and Machine Learning with Python. Enroll now in our top online courses for a super discounted price!Why Study This Python Online Course?
The demand for data scientists and machine learning experts is growing rapidly, and Python is one of the most popular programming languages used in these fields. This course provides a thorough understanding of the fundamentals of data science and machine learning using Python, making it an excellent starting point for anyone looking to enter these fields.Why Study with the Academy of Skills?
- Audio Visual Lesson Easy to follow Audio Visual lesson with lesson control at your fingertip
- Learn anything Whether you want to develop your skills or learn a new activity, you have an online course.
- Learn Anywhere You can learn a new skill from anywhere, including the convenience of your couch.
- Access to Top Instructors Learn from alumni from prestigious universities and cultural institutions who will share their insights and knowledge.
- Instant Certificate Upon successful completion of each course, you will receive an instant digital certificate.
- Affordable Courses Best Prices With Regular Savings
- Learn Anytime Learn new skills at your own pace and on your own time; study anywhere and whenever you choose.
Will I Receive A Certificate of Completion for Data Science and Machine Learning with Python ?
Yes, after completion of this course, you will be able to request a certificate of completion from the Academy of Skills. You can order the certificate with our secure payment system. Use the link at the bottom of this page to order the Certificate. An exclusive discount is offered for pre-orders. You can request for PDF Certificate, PDF Transcript, Hardcopy Certificate and Hardcopy Transcript after successfully completing the course. We offer Free UK Shipping for all Hardcopy orders. Visit the Certificate order page (https://educationtraining.org/certificate-transcript/) to purchase/claim your certificate.Requirement
- There is no formal entry requirement.
- A basic understanding of programming concepts and the Python programming language
- Familiarity with mathematical concepts such as statistics and linear algebra will also be helpful
- Access to a computer with an internet connection and a modern web browser.
Course Currilcum
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- Who is this course for? 00:03:00
- Data Science + Machine Learning Marketplace 00:07:00
- Data Science Job Opportunities 00:05:00
- Data Science Job Roles 00:11:00
- What is a Data Scientist? 00:17:00
- How To Get a Data Science Job 00:19:00
- Data Science Projects Overview 00:12:00
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- Why We Use Python 00:04:00
- What is Data Science? 00:14:00
- What is Machine Learning? 00:15:00
- Machine Learning Concepts and Algorithms 00:15:00
- What is Deep Learning? 00:10:00
- Machine Learning vs Deep Learning 00:12:00
- What is Programming? 00:07:00
- Why Python for Data Science? 00:05:00
- What is Jupyter? 00:04:00
- What is Google Colab? 00:04:00
- Jupyter Notebook 00:19:00
- Python Variables, Booleans 00:12:00
- Getting Started with Google Colab 00:10:00
- Python Operators 00:26:00
- Python Numbers and Booleans 00:08:00
- Python Strings 00:14:00
- Python Conditional Statements 00:14:00
- Python For Loops and While Loops 00:09:00
- Python Lists 00:06:00
- More about Lists 00:16:00
- Python Tuples 00:12:00
- Python Dictionaries 00:21:00
- Python Sets 00:10:00
- Compound Data Types and When to use each one? 00:13:00
- Python Functions 00:15:00
- Object-Oriented Programming in Python 00:19:00
- What Exactly is Probability? 00:04:00
- Expected Values 00:03:00
- Relative Frequency 00:06:00
- Intro To Pandas 00:16:00
- Intro To Pandas Continued 00:19:00
- Intro to Machine Learning 00:27:00
- Data Cleaning 00:08:00
- Linear Regression Intro 00:09:00
- Gradient Descent 00:06:00
- Linear Regression + Correlation Methods 00:27:00
- Linear Regression Implemenation 00:06:00
- Logistic Regression 00:04:00
- Decision Trees Section Overview 00:05:00
- EDA on Adult Dataset 00:17:00
- What is Entropy and Information Gain? 00:22:00
- The Decision Tree ID3 algorithm from scratch Part 1 00:12:00
- The Decision Tree ID3 algorithm from scratch Part 2 00:08:00
- The Decision Tree ID3 algorithm from scratch Part 3 00:05:00
- ID3 – Putting Everything Together 00:22:00
- Evaluating our ID3 implementation 00:17:00
- Compare with sklearn implementation 00:04:00
- Visualizing the tree 00:11:00
- Plot the Important Features 00:06:00
- Decision Trees Hyper-parameters 00:12:00
- Pruning 00:18:00
- [Optional] Gain Ration 00:03:00
- Decision Trees Pros and Cons 00:08:00
- Project] Predict whether income exceeds $50K/yr – Overview 00:03:00
- SVM Outline 00:06:00
- SVM intuition 00:12:00
- Hard vs Soft Margins 00:14:00
- C hyper-parameter 00:05:00
- Kernel Trick 00:13:00
- Kernel Types 00:19:00
- SVM with Linear Dataset (Iris) 00:14:00
- SVM with Non-linear Dataset 00:13:00
- SVM with Regression 00:06:00
- [Project] Voice Gender Recognition using SVM 00:05:00
- PCA Section Overview 00:06:00
- What is PCA? 00:10:00
- PCA Drawbacks 00:04:00
- PCA Algorithm Steps (Mathematics) 00:14:00
- Covariance Matrix vs SVD 00:05:00
- PCA – Main Applications 00:03:00
- PCA – Image Compression 00:28:00
- PCA – Image Compression 00:28:00
- PCA – Image Compression 00:28:00
- PCA – Feature Scaling and Screen Plot 00:10:00
- PCA – Supervised vs Unsupervised 00:05:00
- PCA – Visualization 00:08:00
