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Data Science and Machine Learning Masterclass

Data Science and Machine Learning Masterclass


Pykinile

Summary

Price
£12 inc VAT
Study method
Online, On Demand What's this?
Duration
25 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed courses certificate of completion - Free
Additional info
  • Tutor is available to students

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Overview

Take your abilities to the next level with our industry-standard and profession-aligned Data Science and Machine Learning Masterclass courses. This Data Science and Machine Learning Masterclass course was created using sophisticated resources by our expert mentors. Enroll in this Data Science and Machine Learning Masterclass course if you want to learn everything there is to know about Data Science and Machine Learning Masterclass and improve your dream profession abilities.

Our instructor presents the techniques and frameworks that assist learners to accomplish the necessary subject matters in this Data Science and Machine Learning Masterclass course. The complete Data Science and Machine Learning Masterclass course is jam-packed with all of the required insights and examples from both the theoretical and practical elements of the linked subject; also, this Data Science and Machine Learning Masterclass course is made for any creative learner who requires it.

You'll have access to well-known academics and industry figures, as well as a varied and professional cohort and all of the premium features, such as interactive classes, qualified and moderated examinations, podcasts, PDF books, and other high-engagement distance learning activities.

Furthermore, you can work with a diverse group of students from all around the world to tackle real-world challenges. This Data Science and Machine Learning Masterclass course can help you improve your skills and put what you've learned to the test.

Why Pykinile?

  • We provide a large selection of courses, including multi-language courses, diploma programmes, crash courses, professional development programmes, and non-credit-based academic courses, in addition to this Data Science and Machine Learning Masterclass course.
  • With a customisable and self-paced study schedule, this Data Science and Machine Learning Masterclass course offers a whole unique learning experience.
  • This Data Science and Machine Learning Masterclass is a cost-effective and high-quality course with a flexible refund policy.
  • Pykinile ensures that both former and current experts provide expert instruction. On our platform, you will receive the best education, tips, and tricks from industry experts.
  • This Data Science and Machine Learning Masterclass course provides an outstanding learning experience with access from any device at any time.
  • You can learn Data Science and Machine Learning Masterclass at your own pace; you determine how quickly you want to learn. We ensure comprehensive care and quality guidelines when it comes to professional courses.
  • The Data Science and Machine Learning Masterclass course was developed to meet UK and EU standards.

Curriculum

19
sections
111
lectures
24h 59m
total
    • 1: Course Intro Preview 07:20
    • 2: PreFace 2 Final 02:24
    • 3: Tips DS 00:40
    • 4: Setup env 2020 09:10
    • 5: Setup env 2020 25:18
    • 6: Env File 00:14
    • 7: Env Setup Other Options 03:34
    • 8: Imp Note 00:17
    • 9: Possible Updates 00:24
    • 10: Python Essentials 20:57
    • 11: Python Essentials 14:36
    • 12: Python Essentials 12:17
    • 13: Python Essentials 15:34
    • 14: Python Essentials 20:05
    • 15: Python Essentials Exercises 02:03
    • 16: Python Essentials Exercises sol 21:55
    • 17: Numpy Lecture 03:03
    • 18: Numpy Essentials 27:45
    • 19: Numpy Essentials 26:27
    • 20: Numpy Essentials 07:18
    • 21: Numpy Ex overview 02:15
    • 22: Numpy Ex Sols 25:06
    • 23: pandas Lecture 01:44
    • 24: Pandas intro 02:10
    • 25: Series 20:15
    • 26: Data frames 29:47
    • 27: Hierarchical Indexing 14:11
    • 28: Handling Missing Data 11:58
    • 29: Data Wrangling Merging Concat 20:13
    • 30: Group By 10:16
    • 31: Useful Methods 26:18
    • 32: Cust Purch Ex 1 Overview 08:29
    • 33: Cust Purch Ex 1 Sol 30:44
    • 34: Chicago Payroll Overview 04:24
    • 35: Chicago payroll Ex Solution 17:36
    • 36: Chicago Payroll Ex Solution 18:10
    • 37: Matplotlib essentials 13:13
    • 38: Matplotlib Essentials 22:28
    • 39: Matplotlib Essentials 21:35
    • 40: Matplotlib exr Overview 05:44
    • 41: Matplotlib exr Sol 20:53
    • 42: Matploltlib Optional. 00:17
    • 43: Seaborn Intro 03:36
    • 44: Seborn_Distributation plot 25:19
    • 45: Seborn Categorical plots 20:50
    • 46: Seborn Categorical plots 15:30
    • 47: Seborn Axis Grids 25:04
    • 48: Matrix plots 13:24
    • 49: Seborn Reg plots 11:29
    • 50: Seborn Figure Aesthetics 10:25
    • 51: Seaborn Exercises 04:15
    • 52: Seaborn Ex Sol 18:58
    • 53: Pandas for DV 33:32
    • 54: Pandas DV Ex 03:11
    • 55: Pandas DV Sol 13:09
    • 56: Interactive plots 19:22
    • 57: Interactive plots Geo 13:35
    • 58: Interactive plots Ex Overview 10:31
    • 59: Interactive plots Ex Sol 36:58
    • 60: Proj Oil Bank Overview 14:30
    • 61: Proj Oil Bank Sol P 1 17:39
    • 62: Proj Oil Bank Sol P 2 18:27
    • 63: Proj Oil Bank Sol P 3 16:44
    • 64: Overview 911 project 02:32
    • 65: ML Introduction Lecture 14:42
    • 66: LRM Lecture 14:40
    • 67: Future Warnings 00:26
    • 68: Linear Reg 17:05
    • 69: Linear Reg 1 19:24
    • 70: Pickle It 01:01
    • 71: Insurance LRM Ex 08:23
    • 72: Insurance LRM Sol 29:47
    • 73: LogR Lecture 10:26
    • 74: Confusion Matrix changes 00:29
    • 75: Log Reg 16:54
    • 76: Log_Reg 1 19:45
    • 77: Log Reg 2 11:22
    • 78: LogR Project Overview 04:43
    • 79: LogR Proj Sol 14:34
    • 80: KNN Lecture 08:22
    • 81: KNN 24:53
    • 82: KNN Proj OverVw 04:04
    • 83: KNN Proj Sol 13:33
    • 84: Trees Lecture 17:57
    • 85: Tree RFC 18:40
    • 86: DTree Project Ex 04:48
    • 87: DTree Proj Sol 15:26
    • 88: SVM Lecture 06:32
    • 89: SVM 30:14
    • 90: SVMs Project OverView 06:46
    • 91: SVMs Project Sol 20:15
    • 92: Heart Disease Cleveland Optional Project 01:48
    • 93: Means Clust Lecture 11:03
    • 94: Means Clustering 23:23
    • 95: K Means Clustering Proj OvrVw 07:16
    • 96: K Mean Clustering Proj Sol 21:59
    • 97: PCA Lecture 09:12
    • 98: PCA Lecture 22:00
    • 99: PCA Project Ex 01:32
    • 100: PCA Proj Sol 17:11
    • 101: RS Lecture 05:37
    • 102: Rec Sys P 1 17:56
    • 103: Rec Sys p 2 19:00
    • 104: NLP Lecture 12:46
    • 105: NLP Spam Ham P 1 13:18
    • 106: NLP Spam Ham P 2 18:36
    • 107: NLP Spam Ham P 3 18:41
    • 108: NLP Spam Ham P 4 13:03
    • 109: NLP Spam Ham P 5 09:04
    • 110: Please read its important 00:39
    • 111: The End 00:56

Course media

Description

With the help and knowledge of industry leaders, the innovative Data Science and Machine Learning Masterclass was created. This Data Science and Machine Learning Masterclass course has been meticulously designed to meet all of the learning criteria for making a significant contribution to the associated sector and beyond. Enrolling in this Data Science and Machine Learning Masterclass course will give the student with vital knowledge and abilities for achieving their desired job and building a strong personal and professional reputation.

This online course was created to help motivated students become the best in their personal and professional sectors. Many students have completed and enjoyed this Data Science and Machine Learning Masterclass course. This Data Science and Machine Learning Masterclass course gave them the confidence they needed to pursue occupations that were both meaningful and rewarding. This one-of-a-kind Data Science and Machine Learning Masterclass course is excellent for devoted and ambitious learners who want to excel at their career or profession.

The Data Science and Machine Learning Masterclass is planned and developed in accordance with international standards, ensuring that all materials are authentic and respectable, hence enhancing valuable skills. Furthermore, this Data Science and Machine Learning Masterclass course will enhance your CV and help you stand out from other possible applicants or business competitors. The Data Science and Machine Learning Masterclass was created in such a way that learners can do it at any time and in any location. Most significantly, our final assessment, the certificate of completion, will certify your newly gained skills and knowledge, allowing you to enter a competitive job market.

We understand that a student's lifestyle and work pressure may prevent them from dedicating time to study, thus the Data Science and Machine Learning Masterclass has been designed to be completed at a pace and in the hours that are most convenient for each learner. After enrolling, you will have immediate access to the Data Science and Machine Learning Masterclass course. This Data Science and Machine Learning Masterclass course can be accessed from any internet-connected device and from anywhere in the world where you are sighted.

After enrolling in this Data Science and Machine Learning Masterclass course, you can use our tutor assistance to help you with any questions you may have, which you can send to our learner support staff via email. This top online course in Data Science and Machine Learning Masterclass was created by specialists for the future-focused professional and will offer learners with the tools and frameworks they need to lead effectively in a fast changing environment. Take the Data Science and Machine Learning Masterclass course right now to advance your skills.

Curriculum for the course: Data Science and Machine Learning Masterclass


Here is a curriculum breakdown of the Data Science and Machine Learning Masterclass course:

1 - EnvSetup Installation jupyter Notebook

1 - Course Intro

2 - PreFace 2 Final

3 - Tips DS

4 - Setup env 2020 1,2

6 - Env File

7 - Env Setup Other Options

8 - Imp Note

9 - Possible Updates

2 - Python Essentials

10 - Python Essentials 1,2,3,4,5

15 - Python Essentials Exercises

16 - Python Essentials Exercises sol

3 - Numpy DA

17 - Numpy Lecture

18 - Numpy Essentials

19 - Numpy Essentials

20 - Numpy Essentials

21 - Numpy Ex overview

22 - Numpy Ex Sols

4 - Pandas DA

23 - pandas Lecture

24 - Pandas intro

25 - Series

26 - Data frames

27 - Hierarchical Indexing

28 - Handling Missing Data

29 - Data Wrangling Merging Concat

30 - Group By

31 - Useful Methods

32 - Cust Purch Ex 1 Overview

33 - Cust Purch Ex 1 Sol

34 - Chicago Payroll Overview

35 - Chicago payroll Ex Solution 1,2

5 - Matplotlib DV

37 - Matplotlib essentials 1,2,3

40 - Matplotlib exr Overview

41 - Matplotlib exr Sol

42 - Matploltlib Optional.

6 - Seaborn DV

43 - Seaborn Intro

44 - Seborn_Distributation plot

45 - Seborn Categorical plots

46 - Seborn Categorical plots

47 - Seborn Axis Grids

48 - Matrix plots

49 - Seborn Reg plots

50 - Seborn Figure Aesthetics

51 - Seaborn Exercises

52 - Seaborn Ex Sol

7 - Pandas DV

53 - Pandas for DV

54 - Pandas DV Ex

55 - Pandas DV Sol

8 - Intreactive Geo plots DV

56 - Interactive plots

57 - Interactive plots Geo

58 - Interactive plots Ex Overview

59 - Interactive plots Ex Sol

9 - Cap Proj DA DV

60 - Proj Oil Bank Overview

61 - Proj Oil Bank Sol P 1

62 - Proj Oil Bank Sol P 2

63 - Proj Oil Bank Sol P 3

64 - Overview 911 project

10 - LRM

65 - ML Introduction Lecture

66 - LRM Lecture

67 - Future Warnings

68 - Linear Reg 1

69 - Linear Reg 2

70 - Pickle It2

71 - Insurance LRM Ex

72 - Insurance LRM Sol

11 - LogR

73 - LogR Lecture

74 - Confusion Matrix changes

75 - Log Reg

76 - Log_Reg 1

77 - Log Reg 2

78 - LogR Project Overview

79 - LogR Proj Sol

12 - KNN

80 - KNN Lecture

81 - KNN

82 - KNN Proj OverView

83 - KNN Proj Sol

13 - Trees

84 - Trees Lecture

85 - Tree RFC

86 - DTree Project Ex

87 - DTree Proj Sol

14 - SVMs

88 - SVM Lecture

89 - SVM

90 - SVMs Project OverView

91 - SVMs Project Sol

92 - Heart Disease Cleveland Optional Project

15 - KMeans Clust

93 - Means Clust Lecture

94 - Means Clustering

95 - K Means Clustering Proj OvrVw

96 - K Mean Clustering Proj Sol

16 - PCA

97 - PCA Lecture

98 - PCA Lecture

99 - PCA Project Ex

100 - PCA Proj Sol

17 - Rec Sys

101 - RS Lecture

102 - Rec Sys P 1

103 - Rec Sys p 2

18 - NLP

104 - NLP Lecture13m

105 - NLP Spam Ham P 1

106 - NLP Spam Ham P 2

107 - NLP Spam Ham P 3

108 - NLP Spam Ham P 4

109 - NLP Spam Ham P 5

19 - Colsing

110 - Please read its important

111 - The End



Certificate


You will receive a FREE instantly downloadable certificate for course completion once you have completed the Data Science and Machine Learning Masterclass course. You will also be able to request a certificate from Pykinile as well. All of our certificates are available in PDF and print formats, with FREE Shipping in the United Kingdom.

Who is this course for?

The Data Science and Machine Learning Masterclass training course is ideal for highly driven students who want to improve their personal and professional skills as well as prepare for the career of their dreams! This Data Science and Machine Learning Masterclass course is also suitable for people who want to learn more about this subject and appreciate staying up to date on the newest news and information.

Enroll today in the Data Science and Machine Learning Masterclass course and advance your professional abilities from the convenience of your own home!

Requirements

To enrol in this course, there are no formal requirements. Any eager learner who meets the age requirements is welcome to join us.

  • Anyone who is eager to study is eligible.
  • Any smart device that has access to the internet, such as a smartphone, tablet, laptop, or desktop computer.

Career path

Studying the Data Science and Machine Learning Masterclass course is designed to help you get the skills, knowledge, and the job of your dreams, or even if it is about your

desired promotion! Learn the essential skills and knowledge you need to exceed in your professional life with the help & guidance from our Data Science and Machine Learning Masterclass course.

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.

Certificates

Reed courses certificate of completion

Digital certificate - Included

Will be downloadable when all lectures have been completed

Reviews

Currently there are no reviews for this course. Be the first to leave a review.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.