Data Science and Machine Learning with Python Language
Data Science and Machine Learning with Python Language
Academy of Skills
Summary
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Overview
Do you wish to improve your Data Science and Machine Learning with Python Language current abilities? Do you want to take a professionally created, industry-relevant course that you can take at any time and from any location? Do you wish you could learn a new skill set in order to get that Data Science and Machine Learning with Python Language job? Continue reading!
Our teachers present the skills and frameworks that assist learners to overcome the relevant subject matters in this Data Science and Machine Learning with Python Language Course. The entire Data Science and Machine Learning with Python Language course is jam-packed with all of the necessary insights and examples from the theoretical and practical parts of the relevant subject; also, this Data Science and Machine Learning with Python Language course is created for any creative student who needs it.
Academy of Skills will provide all the resources and structure essential for students to pass all sections of this Data Science and Machine Learning with Python Language course. You'll get access to a varied group of well-known academics and industry professionals. Furthermore, you will collaborate with a diverse group of students from across the world to address real-world challenges. To ensure that you flourish in your job, we have packed the whole Data Science and Machine Learning with Python Language course with crucial insights and examples of both theoretical and practical elements of Data Science and Machine Learning with Python Language.
This premium online Data Science and Machine Learning with Python Language course ensures the growth of your professional skills while also providing international accreditation. All of the themes and subtopics in Data Science and Machine Learning with Python Languages are organised scientifically, taking into account the psychology of the learner and their total learning experience. The Data Science and Machine Learning with Python Language modules are all simple to comprehend, interactive, and bite-sized. You will be able to learn Data Science and Machine Learning with Python Language at your own speed, from any location, using any device that is appropriate. The Academy of Skills offers an internationally recognized certification for this Data Science and Machine Learning with Python Language course.
Certificate
Learners can request a FREE PDF Certificate of completion after successfully completing the Data Science and Machine Learning with Python Language course. An additional fee may be charged for Data Science and Machine Learning with Python Language Hardcopy Certificate and includes Free Shipping in the UK.
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Reed courses certificate of completion
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Curriculum
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Course Intro 1:11:56
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DS+ML Concepts 03:14
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Python For Data Science 1:48:41
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Statistics for Data Science 1:08:05
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Probability Hypothesis Testing 20:46
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NumPy Data Analysis 52:30
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Pandas Data Analysis 33:57
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Python Data Visualization 46:04
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Machine Learning Overview 26:03
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Data Loading Exploration 13:05
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Data Cleaning 15:23
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Feature Selecting and Engineering 06:11
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Linear and Logistic Regression 49:16
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Decision Trees 2:29:39
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Ensemble Learning Random Forests 1:11:44
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K Means 1:00:15
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PCA 1:33:12
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Starting A Career in Data Science 29:37
Course media
Description
With the help and knowledge of industry specialists, this novel Data Science and Machine Learning with Python Language course has been put together. Data Science and Machine Learning with Python Language has been meticulously created to fulfill the learning needs that will enable you to make a significant contribution to the area and carve out a successful career path.
Data Science and Machine Learning with Python Language course was created to help motivated students become the best in their personal and professional lives. Many students have already completed and enjoyed this Data Science and Machine Learning with Python Language course. This Data Science and Machine Learning with Python Language education gave them the tools they needed to advance to more gratifying and rewarding jobs. This one-of-a-kind Data Science and Machine Learning with Python Language course is suitable for devoted and ambitious learners who want to be the best at their career or profession.
With the help and knowledge of industry leaders, the original Data Science and Machine Learning with Python Language was created. This Data Science and Machine Learning with Python Language has been meticulously created to suit all of the learning criteria for making a significant contribution to the associated subject and subsequent career path. By participating in this Data Science and Machine Learning with Python Language course, the student will receive valuable knowledge and skills that will help them land their ideal career and establish a strong personal and professional reputation.
After enrolling in this Data Science and Machine Learning with Python Language course, you may use our tutor's assistance to help you with any questions you may have, which you can send to our learner support staff through email. This Data Science and Machine Learning with Python Language is one of our most popular online courses, created by professionals for the future-focused professional and designed to provide learners with the tools and frameworks they need to lead successfully in a fast changing environment.
Enroll in the Data Science and Machine Learning with Python Language right now to advance your abilities.
Curriculum
Course Curriculum: Data Science and Machine Learning with Python Language
Here is a curriculum breakdown of the Data Science and Machine Learning with Python Language course:
1 - Course Intro
1 - Who is this Course for
2 - DS + ML Marketplace
3 - Data Science Job Opportunities
4 - Data Science Job Roles
5 - What is a Data Scientist
6 - How To Get a Data Science Job
7 - Data Science Projects Overview
2 - DS+ML Concepts
8 - Why We Use Python
3 - Python For Data Science
9 - What is Python Programming
10 - Why Python for Data Science
11 - What is Jupyter
12 - What is Colab
13 - Jupyter Notebook
14 - More About Python Lists
15 - Python Tuples
16 - Compound Data Types and When to use each Data Type
17 - Functions
18 - Python Object Oriented Programming
4 - Statistics for Data Science
19 - Intro to Statistics
20 - Descriptive Statistics
21 - Measure of Variability
22 - Measure of Variability Continued
23 - Measures of Variable Relationship
24 - Inferential Statistics
25 - Measures of Asymmetry
26 - Sampling Distribution
5 - Probability Hypothesis Testing
27 - What Exactly Probability
28 - Expected Values
29 - Relative Frequency
30 - Hypothesis Testing Overview
6 - NumPy Data Analysis
31 - NumPy Array Data Types
32 - NumPy Arrays
33 - NumPy Array Basics
34 - NumPy Array Indexing
35 - NumPy Array Computations
36 - Broadcasting
7 - Pandas Data Analysis
37 - Intro to Pandas
38 - Intro to Panda Continued
8 - Python Data Visualization
39 - Data Visualization Overview
40 - Different Data Visualization Libraries in Python
41 - Python Data Visualization Implementation
9 - Machine Learning Overview
42 - Intro to ML
10 - Data Loading Exploration
43 - Exploratory Data Analysis
11 - Data Cleaning
44 - Feature Scaling
45 - Data Cleaning
12 - Feature Selecting and Engineering
46 - Feature Engineering
13 - Linear and Logistic Regression
47 - Linear Regression Intro
48 - Gradient Descent
49 - Linear Regression + Correlation Methods
50 - Linear Regression Implemenation
51 - Logistic Regression
14 - Decision Trees
52 - Decision Trees Section Overview
53 - EDA on Adult Dataset
54 - What is Entropy and Information Gain
55 - The Decision Tree ID3 algorithm from scratch Part 1
56 - The Decision Tree ID3 algorithm from scratch Part 2
57 - The Decision Tree ID3 algorithm from scratch Part 3
58 - Evaluating our ID3 implementation
59 - Compare with Sklearn implementation
60 - Visualizing the Tree
61 - Plot the features importance
62 - Decision Trees Hyper-parameters
63 - Pruning
64 - [Optional] Gain Ration
65 - Decision Trees Pros and Cons
66 - [Project] Predict whether income exceeds $50Kyr Overview
15 - Ensemble Learning Random Forests
67 - Ensemble Learning Section Overview
68 - What is Ensemble Learning
69 - What is Bootstrap Sampling
70 - Out of Bag Error
71 - Implementing Random Forests from scratch Part 2
72 - Compare with sklearn implementation
73 - Random Forests Pros and Cons
74 - What is Boosting
75 - AdaBoost Part 1
76 - AdaBoost Part 2
16 - K Means
77 - Unsupervised Machine Learning Intro
78 - Representation of Clusters
79 - Data Standardization
17 - PCA
80 - Section Overview
81 - What is PCA
82 - Drawbacks
83 - Algorithm Steps
84 - Cov vs SVD
85 - Main Applications
86 - Data Preprocessing Scratch
87 - BiPlot
88 - Feature Scaling and Screeplot
89 - Supervised vs unsupervised
90 - Visualization
18 - Starting A Career in Data Science
91 - Starting a Career in Data Science
92 - Data Science Resume
93 - Getting Started with Freelancing
94 - Top Freelancing Websites
95 - Personal Branding
96 - Importance of Website and Blog
97 - Networking dos and donts
Who is this course for?
The Data Science and Machine Learning with Python Language training course is ideal for highly driven students who wish to improve your personal and professional abilities while also preparing for the career of their dreams! This Data Science and Machine Learning with Python Language is also great for persons who want to learn more about this topic in depth and appreciate being up to speed on the newest facts and expertise.
Requirements
- There are no official requirements for Data Science and Machine Learning with Python Language
- Data Science and Machine Learning with Python Language requires a basic Internet connection
- Data Science and Machine Learning with Python Language requires you to have access to a computer, tablet, or a mobile device
- Knowledge of basic English
Career path
The Data Science and Machine Learning with Python Language course is meant to prepare you for the job of your dreams, a promotion at work, or being self-employed and starting your own business.
Courses from the Academy of Skills will help you enhance your profession and keep your skills current.
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.