Data Science 2020 : Complete Data Science & Machine Learning

Data Science 2020 : Complete Data Science & Machine Learning | Udemy
English | Size: 15.38 GB
Genre: eLearning

What you’ll learn
Learn Complete Data Science skillset required to be a Data Scientist with all the advance concepts
Master Python Programming from Basics to advance as required for Data Science and Machine Learning
Learn complete Mathematics of Linear Algebra, Calculus, Vectors, Matrices for Data Science and Machine Learning.
Become an expert in Statistics including Descriptive and Inferential Statistics.
Learn how to analyse the data using data visualization with all the necessary charts and plots
Perform data Processing using Pandas and ScikitLearn
Master Regression with all its parameters and assumptions
Solve a Kaggle project and see how to achieve top 1 percentile
Learn various classification algorithms such as Logistic Regression, Decision Tree, Random Forest, Support Vector Machines
Get complete understanding of deep learning using Keras and Tensorflow
Become the Pro by learning Feature Selection and Dimensionality Reduction

Data Science and Machine Learning are the hottest skills in demand but challenging to learn. Did you wish that there was one course for Data Science and Machine Learning that covers everything from Math for Machine Learning, Advance Statistics for Data Science, Data Processing, Machine Learning A-Z, Deep learning and more?

Well, you have come to the right place. This Data Science and Machine Learning course has 11 projects, 250+ lectures, more than 25+ hours of content, one Kaggle competition project with top 1 percentile score, code templates and various quizzes.

We are going to execute following real-life projects,

Kaggle Bike Demand Prediction from Kaggle competition

Automation of the Loan Approval process

The famous IRIS Classification

Adult Income Predictions from US Census Dataset

Bank Telemarketing Predictions

Breast Cancer Predictions

Predict Diabetes using Prima Indians Diabetes Dataset

Today Data Science and Machine Learning is used in almost all the industries, including automobile, banking, healthcare, media, telecom and others.

As the Data Science and Machine Learning practioner, you will have to research and look beyond normal problems, you may need to do extensive data processing. experiment with the data using advance tools and build amazing solutions for business. However, where and how are you going to learn these skills required for Data Science and Machine Learning?

Data Science and Machine Learning require in-depth knowledge of various topics. Data Science is not just about knowing certain packages/libraries and learning how to apply them. Data Science and Machine Learning require an indepth understanding of the following skills,

Understanding of the overall landscape of Data Science and Machine Learning

Different types of Data Analytics, Data Architecture, Deployment characteristics of Data Science and Machine Learning projects

Python Programming skills which is the most popular language for Data Science and Machine Learning

Mathematics for Machine Learning including Linear Algebra, Calculus and how it is applied in Machine Learning Algorithms as well as Data Science

Statistics and Statistical Analysis for Data Science

Data Visualization for Data Science

Data processing and manipulation before applying Machine Learning

Machine Learning

Ridge (L2), Lasso (L1) and Elasticnet Regression/ Regularization for Machine Learning

Feature Selection and Dimensionality Reduction for Machine Learning models

Machine Learning Model Selection using Cross Validation and Hyperparameter Tuning

Cluster Analysis for unsupervised Machine Learning

Deep Learning using most popular tools and technologies of today.

Who this course is for:
Beginners as well as advance programmers who want to make a career in Data Science and Machine Learning

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