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A Smarter Way to Understand Supervised Learning
A stepbystep, focused approach to getting up and running with realworld supervised learning in no time at all.
Course Curriculum
An A to Z tour of supervised learning.

1. Fundamentals of Supervised Learning Algorithms
 Overview FREE PREVIEW
 When to Use Supervised Learning FREE PREVIEW
 Exercise 1.01: Loading and Summarizing the Titanic Dataset FREE PREVIEW
 Exercise 1.02: Indexing and Selecting Data FREE PREVIEW
 Exercise 1.03: Advanced Indexing and Selection FREE PREVIEW
 Pandas Methods FREE PREVIEW
 Exercise 1.04: Using the Aggregate Method FREE PREVIEW
 Quantiles FREE PREVIEW
 Exercise 1.05: Creating Lambda Functions FREE PREVIEW
 Data Quality Considerations FREE PREVIEW
 Activity 1.01: Implementing Pandas Functions FREE PREVIEW
 Activity 1.01: Implementing Pandas Functions FREE PREVIEW
 Summary FREE PREVIEW

2. Exploratory Data Analysis and Visualization
 Overview
 Exploratory Data Analysis (EDA)
 Exercise 2.01: Summarizing the Statistics of Our Dataset
 Missing Values
 Exercise 2.02: Visualizing Missing Values
 Imputation Strategies for Missing Values
 Exercise 2.03: Performing Imputation Using Pandas
 Exercise 2.04: Performing Imputation Using ScikitLearn
 Exercise 2.05: Performing Imputation Using Inferred Values
 Activity 2.01: Summary Statistics and Missing Values
 Activity 2.01: Summary Statistics and Missing Values
 Distribution of Values
 Exercise 2.06: Plotting a Bar Chart
 Exercise 2.07: Identifying Data Types for Categorical Variables
 Exercise 2.08: Calculating Category Value Counts
 Exercise 2.09: Plotting a Pie Chart
 Continuous Data
 Exercise 2.10: Plotting a Histogram
 Exercise 2.11: Computing Skew and Kurtosis
 Activity 2.02: Representing the Distribution of Values Visually
 Activity 2.02: Representing the Distribution of Values Visually
 Relationships within the Data
 Exercise 2.12: Plotting a Scatter Plot
 Exercise 2.13: Plotting a Correlation Heatmap
 Using Pairplots
 Exercise 2.14: Implementing a Pairplot
 Exercise 2.15: Plotting a Bar Chart
 Exercise 2.16: Visualizing a Box Plot
 Exercise 2.17: Plotting a Stacked Bar Chart
 Activity 2.03: Relationships within the Data
 Activity 2.03: Relationships within the Data
 Summary
 Survey I

3. Linear Regression
 Overview
 Regression and Classification Problems
 Exercise 3.01: Plotting Data with a Moving Average
 Activity 3.01: Plotting Data with a Moving Average
 Activity 3.01: Plotting Data with a Moving Average
 Linear Regression
 Exercise 3.02: Fitting a Linear Model Using the Least Squares Method
 Activity 3.02: Linear Regression Using the Least Squares Method
 Activity 3.02: Linear Regression Using the Least Squares Method
 Linear Regression with Categorical Variables
 Exercise 3.03: Introducing Dummy Variables
 Activity 3.03: Dummy Variables
 Activity 3.03: Dummy Variables
 Polynomial Models with Linear Regression
 Exercise 3.04: Polynomial Models with Linear Regression
 Activity 3.04: Feature Engineering with Linear Regression
 Activity 3.04: Feature Engineering with Linear Regression
 Generic Model Training
 Exercise 3.05: Linear Regression with Gradient Descent
 Exercise 3.06: Optimizing Gradient Descent
 Activity 3.05: Gradient Descent
 Activity 3.05: Gradient Descent
 Multiple Linear Regression
 Exercise 3.07: Multiple Linear Regression
 Summary

4. Autoregression
 Overview
 Autoregression Models
 Exercise 4.01: Creating an Autoregression Model
 Activity 4.01: Autoregression Model Based on Periodic Data
 Activity 4.01: Autoregression Model Based on Periodic Data
 Summary
 Survey II

5. Classifcation Techniques
 Overview
 Ordinary Least Squares as a Classifier
 Exercise 5.01: Ordinary Least Squares as a Classifier
 Logistic Regression
 Exercise 5.02: Logistic Regression as a Classifier – Binary Classifier
 Exercise 5.03: Logistic Regression – Multiclass Classifier
 Activity 5.01: Ordinary Least Squares Classifier – Binary Classifier
 Activity 5.01: Ordinary Least Squares Classifier – Binary Classifier
 Select K Best Feature Selection
 Exercise 5.04: Breast Cancer Diagnosis Classification Using Logistic Regression
 Classification Using KNearest Neighbors
 Exercise 5.05: KNN Classification
 Exercise 5.06: Visualizing KNN Boundaries
 Activity 5.02: KNN Multiclass Classifier
 Activity 5.02: KNN Multiclass Classifier
 Classification Using Decision Trees
 Exercise 5.07: ID3 Classification
 Classification and Regression Tree
 Exercise 5.08: Breast Cancer Diagnosis Classification Using a CART Decision Tree
 Activity 5.03: Binary Classification Using a CART Decision Tree
 Activity 5.03: Binary Classification Using a CART Decision Tree
 Artificial Neural Networks
 Exercise 5.09: Neural Networks – Multiclass Classifier
 Activity 5.04: Breast Cancer Diagnosis Classification Using Artificial Neural Networks
 Activity 5.04: Breast Cancer Diagnosis Classification Using Artificial Neural Networks
 Summary

6. Ensemble Modeling
 Overview
 OneHot Encoding
 Exercise 6.01: Importing Modules and Preparing the Dataset
 Overfitting and Underfitting
 Exercise 6.02: Using the Bagging Classifier
 Random Forest
 Exercise 6.03: Building the Ensemble Model Using Random Forest
 Boosting
 Exercise 6.04: Implementing Adaptive Boosting
 Exercise 6.05: Implementing GradientBoostingClassifier to Build an Ensemble Model
 Stacking
 Exercise 6.06: Building a Stacked Model
 Activity 6.01: Stacking with Standalone and Ensemble Algorithms
 Activity 6.01: Stacking with Standalone and Ensemble Algorithms
 Summary
 Survey III

7. Model Evaluation
 Overview
 Importing the Modules and Preparing Our Dataset
 Evaluation Metrics
 Exercise 7.01: Calculating Regression Metrics
 Classification Metrics
 Exercise 7.02: Calculating Classification Metrics
 Splitting a Dataset
 Exercise 7.03: Performing KFold CrossValidation with Stratified Sampling
 Performance Improvement Tactics
 Exercise 7.04: Hyperparameter Tuning with Random Search
 Exercise 7.05: Feature Importance Using Random Forest
 Activity 7.01: Final Test Project
 Activity 7.01: Final Test Project
 Summary
Join Over 85,000 Satisfied Students
Here is what they have to say about Packt workshops:
Amazing
Federico Patito
This course is excelent, with this course you learn a lot of topics and each topic has some exercises that are very u...
Read MoreThis course is excelent, with this course you learn a lot of topics and each topic has some exercises that are very useful.
Read LessVery detailed workshop with good excercises and activites
Ajijul Hakim Abid
Very good indepth workshop in python. Goes over almost every topics but some topics could have a more detailed expla...
Read MoreVery good indepth workshop in python. Goes over almost every topics but some topics could have a more detailed explanation. Would't recommend for someone totally new to programming.
Read LessGreat Introductory Course
mohammad nazeri
This course covers basic Python syntax, how to develop software in python, how to work in a team, and an introduction...
Read MoreThis course covers basic Python syntax, how to develop software in python, how to work in a team, and an introduction to data science and machine learning with Python.
Read LessAn excellent way to learn Python
Juan Alberto Cañero Tamayo
I like the methodology applied to this workshop, it starts from the basic and a good explanation of the subjects plus...
Read MoreI like the methodology applied to this workshop, it starts from the basic and a good explanation of the subjects plus a plenty of examples helps you to understand Python.
Read Less5 Stars for the content !
Mahesh Deshpande
I belong to mechanical background and started leaning any kind of programming in my life with this course. This is to...
Read MoreI belong to mechanical background and started leaning any kind of programming in my life with this course. This is too good for a beginner like me. The content is properly given and exercise and activities are also good. Video explainations help a lot ! The only problem I faced was the kernel busy problem in the Jupyter IDE. Otherwise I found Jupyter most user friendly as compared to other IDEs. Thanks Packt for this course !
Read LessThe most satisfying python workshop i ever attended!
Sanket Gadge
I have attended many python workshops, but this one is really great, the content is super awesome. Actually all the c...
Read MoreI have attended many python workshops, but this one is really great, the content is super awesome. Actually all the courses workshops i ever attended they never taught me (for ex. say logging) everything in python, but this workshop even covers the python from beginner to advanced. With activities included, this workshop made me think more and more rather than just going through the content and reading text and videos. I learned a ton here. Thank you for all the coaches who creating this extra ordinary content.
Read LessDifferent and made for people like me
Muizz Lateef
I have been watching tutorial videos for over 6 months now and not really confident yet, but few minutes into this te...
Read MoreI have been watching tutorial videos for over 6 months now and not really confident yet, but few minutes into this text approach and i am already getting the whole idea
Read LessExcellent Course Overall
Jon Hill
Had some familiarity with Python before starting the course and working through the exercises and activities, certain...
Read MoreHad some familiarity with Python before starting the course and working through the exercises and activities, certainly picked up some things that I had missed before and filled some gaps in my knowledge. Course needs a bit of proofreading as a number of errors sprinkled throughout. Found the Activities needed a little more guidance rather than being vague but worked out in the end. Overall excellent course, especially for those beginning with Python as covers a full spectrum of Python requirements. Many thanks
Read LessReview for the Python Workshop
Samapriya Trivedi
This workshop provides one of the best educative content for the Python available on internet. Got to know a lot abou...
Read MoreThis workshop provides one of the best educative content for the Python available on internet. Got to know a lot about Python and it's working in a very elaborate manner.
Read LessLearning Python is Easier
Jayabalan Ravichandiran
Python concepts and using those in practice , made easier to know about python. Core concepts are explained in detail...
Read MorePython concepts and using those in practice , made easier to know about python. Core concepts are explained in detail . The activities enables to play & know python more than reading through only concepts . The Best of python course is here ....
Read LessReal Python lover... The Packt.
Jonty Rhodes
What can I say this website is very good for beginners. Although this website enhancing my programming experience al...
Read MoreWhat can I say this website is very good for beginners. Although this website enhancing my programming experience also. keep it up. May Allah bless you.
Read LessAttila Sebők's review
Attila Sebők
A Python Workshop kellemes meglepetés volt számomra. Tetszett a tema csoportosítása. Sokat tanultam a Workshopból. Am...
Read MoreA Python Workshop kellemes meglepetés volt számomra. Tetszett a tema csoportosítása. Sokat tanultam a Workshopból. Ami lehetne jobb: naprakész hibajavítás a leckékben és a tesztekben.
Read LessDATA SCIENCE Workshop
LALIT JADHAV
This course format and is very easily understandable. Workshop Certificate structure are very wonderful. Thanks a lot...
Read MoreThis course format and is very easily understandable. Workshop Certificate structure are very wonderful. Thanks a lot for Packt👈
Read LessExcellent course !!
Luiz Pellegrini
Very well structured, with good examples and a rational sequence !! An additional feature is that it is updated and d...
Read MoreVery well structured, with good examples and a rational sequence !! An additional feature is that it is updated and designed run on Jupyter Notebooks!!
Read LessCourse content
Edward Amankwah
The course presents a great way to data visualization techniques and it also opens up a lot of opportunities for data...
Read MoreThe course presents a great way to data visualization techniques and it also opens up a lot of opportunities for data scientist to explore their dataset before and after data modelling.
Read LessMany disciplines in Data Visualization
Thomas Hopf
Taking into account Python and therefore Jupyter Notebooks as a "platform" isn't a problem at all, since it's common....
Read MoreTaking into account Python and therefore Jupyter Notebooks as a "platform" isn't a problem at all, since it's common. Setting up by "cloning" a github repository was very easy. The toolboxes for visualization in focus are Matplotlib (famous), Seaborn, Geoplotlib. The order makes sense and in order to get Python basics pandas and numpy are also introduced first. Finally Bokeh is introduced as an interactive tool with no deepdive but explaining the concept and options. At the end there will be a summary. The quizzes are not that easy in my opinion and you really should follow every topic and do the exersices, activities. Thanks for this perfect designed workshop course and the good example datasets. Greetz, Tommy
Read LessSimple and straightforward intro
Geoffrey Letsoalo
The introduction is simple and very informative in terms of estalishing and getting the development environment going...
Read MoreThe introduction is simple and very informative in terms of estalishing and getting the development environment going. Very intuitive!
Read LessOne of the best place to learn
NAGA SANKARA SAI KARTHIK MUKKU
This workshop course is not a pack of subject but also helps in connecting realworld and also provide widerange of ...
Read MoreThis workshop course is not a pack of subject but also helps in connecting realworld and also provide widerange of concepts which make this workshop stand out of the box
Read LessGreat workshop
Djoko Cahyo Utomo Lieharyani
This workshop gives a provide broad insight into python, more to practical exercises and activities. There are some p...
Read MoreThis workshop gives a provide broad insight into python, more to practical exercises and activities. There are some problems tough, like some wrong script, redundant question, and no clear definition on some part (around 15% of 100% I guess), but the discussion part is helpful, coz sometimes with reading discussion part make some problem clear. My suggestion is to make the workshop perfect by validating the disscussion part.
Read LessExcellent!
Marcos Souza
I was very surprised by the quality of this course. Its well organized, full of examples on the subjects it is teachi...
Read MoreI was very surprised by the quality of this course. Its well organized, full of examples on the subjects it is teaching, relevant quizzes and exercises, and even videos. Its by far the best free course i've ever seen.
Read LessCourse content
Edward Amankwah
A great way to review the length and breath of Python language. It introduces more concepts that can be pursued furth...
Read MoreA great way to review the length and breath of Python language. It introduces more concepts that can be pursued further which I really like, especially for data science.
Read LessWonderful
Varun Kanthety
This is a wonderful course to dive deeply into the main features of JavaScript. Without any hesitation, I highly reco...
Read MoreThis is a wonderful course to dive deeply into the main features of JavaScript. Without any hesitation, I highly recommend this workshop to learn JavaScript.
Read LessGood course on JavaScript... Super Easy Language, Every e...
Kuntal Bhowmick
The Workshop is really good and covers a lot of content starting from basics till advance. The Workshop explain ho...
Read MoreThe Workshop is really good and covers a lot of content starting from basics till advance. The Workshop explain how things work by using simple language, so you don't feel like you're just copying code—you're actually understanding what you're writing, and why. In particular, I appreciate this JavaScript Workshop because of the exercise and the activities given for each and every concept. The workshop also show students how to problemsolve like a developer: what to type into Google when you're stuck, how to get to the bottom of an error message, etc. I think the understanding the core concept was very beneficial and think it would help me become a better developer in the future. Amazing breakdowns that really help fill in knowledge gaps. Great exercises with fully detailed explanations. I am satisfied with the course. I highly recommend this course to anyone who wants to learn JS(JavaScript). Edit: I want to add another thing. The quiz given after every section is very important. It gives me how much I understand the section. the quiz also displays the explanation of each answer along with whether my selected answer is right or wrong.
Read LessProgramming fundamentals
Oteri Eyenike
I was able to understand the conditional statement, data types, the object of properties and I like every aspect of t...
Read MoreI was able to understand the conditional statement, data types, the object of properties and I like every aspect of the course.
Read LessContent
Adedeji Adelanwa
It is quite informative and helpfully. A real refresher and eye opener for me. Though there are a few typos and sente...
Read MoreIt is quite informative and helpfully. A real refresher and eye opener for me. Though there are a few typos and sentence misplacement and also video. I don't mind helping out in correcting the errors
Read LessA must for those aiming to become true web developers
Jose B
Despite minor aspects with tests (the one focused on PHP), it is a very good way to teach yourself JavaScript coverin...
Read MoreDespite minor aspects with tests (the one focused on PHP), it is a very good way to teach yourself JavaScript covering the latest ECMA standards,
Read LessGet Verified
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$34.99
$34.99The Supervised Learning Workshop
Unlock one year of full, unlimited access!