Data Science & Machine learning
JavaScript is the popular programming language which powers web pages and web applications. This course will get you started coding in JavaScript.
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IntroductionWho is This Course For0sData Science + Machine Learning Marketplace0s. Data Science Job Opportunities.0s. Data Science Job Opportunities.0sData Science Job Roles.0sWhat is a Data Scientist0sWhat is Data Science.0s. What is Machine Learning0s. Machine Learning Concepts & Algorithms0sWhat is Deep Learning.0sMachine Learning vs Deep Learning.0s
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Data science and machine learning
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python for data science and machine learningWhat is Programming0sWhy Python for Data Science0sWhy Python for Data Science0spdf0spdf20s. What is Jupyter0spdf0sWhat is Google Colab0s. Python Variables, Booleans and None.0s. Python Variables, Booleans and None.0sGetting Started with Google Colab.0sPython Operators0sPython Numbers & Booleans.0s. Python Strings.0sPython Conditional Statements.0sPython For Loops and While Loops.0sPython Lists.0sMore about Lists.0s. Python Tuples.0sPython Dictionaries.0sPython Sets.0sCompound Data Type … en to use each one0sPython Functions.0sObject Oriented Programming in Python.0s
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statistics for data science
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probability & hypothasis testing
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Numpy Data analysis.
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pandas data analysis.
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Python Data visualization.
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Machine Learning.
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Data Loading exploration.
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Data cleaning.
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Features Selecting
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Linear And logistic regression
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Knearest neighboursKNN Overview0sparametric vs non-parametric models0sEDA on Iris Dataset0sThe KNN Intuition0sImplement the KNN algorithm from scratch0sCompare the result with the sklearn library0sHyperparameter tuning using the cross-validation0sThe decision boundary visualization0sManhattan vs Euclidean Distance0sFeature scaling in KNN0sCurse of dimensionality0sKNN use cases.0sKNN use cases.0s
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Decision TreeDecision Trees Section Overview0sEDA on Adult Dataset0sWhat is Entropy and Information Gain0sThe Decision Tree ID3 algorithm from scratch Part 10sThe Decision Tree ID3 algorithm from scratch Part 20sThe Decision Tree ID3 algorithm from scratch Part 30sID3 – Putting Everything Together.0sEvaluating our ID3 implementation0sCompare with Sklearn implementation0sVisualizing the tree0sPlot the features importance0sDecision Trees Hyper-parameters0sPruning0s[Optional] Gain Ration0sDecision Trees Pros and Cons.0s
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Ensembler LearningEnsemble Learning Section Overview.0sWhat is Ensemble Learning0sWhat is Bootstrap Sampling0sWhat is Bagging0sOut-of-Bag Error (OOB Error).0sImplementing Random Forests from scratch Part 1.0sImplementing Random Forests from scratch Part 20sCompare with sklearn implementation0sRandom Forests Hyper-Parameters0sRandom Forests Pros and Cons0sWhat is Boosting0sAdaBoost Part 10sAdaBoost Part 20s
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Support vector machine
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KMeans
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PCAPCA Section Overview0sWhat is PCA.0sPCA Drawbacks0sPCA Algorithm Steps (Mathematics)0s. Covariance Matrix vs SVD0sPCA – Main Applications0sPCA – Image Compression0sPCA Data Preprocessing0sPCA – Biplot and the Screen Plot0sPCA – Feature Scaling and Screen Plot0sPCA – Supervised vs Unsupervised0sPCA – Visualization0s
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Data Science Career
If you’re learning to program for the first time, or if you’re coming from a different language, this course, JavaScript: Getting Started, will give you the basics for coding in JavaScript. First, you’ll discover the types of applications that can be built with JavaScript, and the platforms they’ll run on. Next, you’ll explore the basics of the language, giving plenty of examples. Lastly, you’ll put your JavaScript knowledge to work and modify a modern, responsive web page. When you’re finished with this course, you’ll have the skills and knowledge in JavaScript to create simple programs, create simple web applications, and modify web pages.
What you’ll learn
- Recognize the importance of understanding your objectives when addressing an audience.
- Identify the fundaments of composing a successful close
- Explore how to connect with your audience through crafting compelling stories.
- Examine ways to connect with your audience by personalizing your content.
- Break down the best ways to exude executive presence.
- Explore how to communicate the unknown in an impromptu communication.
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What's included
- 12 hours video
- Certificate
- 12 Article
- Watch Offline
- Lifetime access
