Learn How to Edit Photos as we Learn all the Tools in Photoshop and then Finish out the Course with 3 Fun Projects Original Price $129.99 Discount 100% off 2 days left at this price! Coupon: TRY10FREE12104 What you'll learn -Edit 3 Projects from Scratch -Edit Thumbnails -Edit Wallpapers -Photo Touchup on my Udemy Profile Picture -Learn Photoshop 2020 Tools -Move Tool -Rectangle Marquee Tool -Lasso Tool -Object Selection Tool -Crop Tool -Frame Tool -Eye Dropper Tool -Spot Healing Brush -Brush Tool -Clone Stamp Tool -History Brush Tool -Eraser Tool -Gradient Tool -Blur Tool -Dodge Tool -Pen Tool -Type Tool -Path Selection Tool -Custom Shape Tool -Hand Tool -Zoom Tool -Wallpaper Project -Thumbnail Project -Profile Picture Project -Have Fun Learning Photoshop 2020 GO TO COURSE: https://www.udemy.com/course/learn-photo-editing-with-photoshop-2020/?couponCode=TRY10FREE12104
Start your career as Data Scientist from scratch. Learn Data Science with Python. Predict trends with advanced analytics
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What you'll learn
✅End-to-end knowledge of Data Science
✅Prepare for a career path as Data Scientist / Consultant
✅Overview of Python programming and its application in Data Science
✅Detailed level programming in Python - Loops, Tuples, Dictionary, List, Functions & Modules, etc.
✅Decision-making and Regular Expressions
✅Introduction to Data Science Libraries
✅Components of Python Ecosystem
✅Analysing Data using Numpy and Pandas
✅Data Visualisation with Matplotlib
✅Three-Dimensional Plotting with Matplotlib
✅Data Visualisation with Seaborn
✅Introduction to Statistical Analysis - Math and Statistics
✅Terminologies & Categories of Statistics, Correlation, Mean, Median, Mode, Quartile
✅Data Science Methodology - From Problem to Approach, From Requirements to Collection, From Understanding to Preparation
✅Data Science Methodology - From Modeling to Evaluation, From Deployment to Feedback
✅Introduction to Machine Learning
✅Types of Machine Learning - Supervised, Unsupervised, Reinforcement
✅Regression Analysis - Linear Regression, Multiple Linear Regression, Polynomial Regression
✅Implementing Linear Regression, Multiple Linear Regression, Polynomial Regression
✅Classification, Classification algorithms, Logistic Regression
✅Decision Tree, Implementing Decision Tree, Support Vector Machine (SVM), Implementing SVM
✅Clustering, Clustering Algorithms, K-Means Clustering, Hierarchical Clustering
✅Agglomerative & Divisive Hierarchical clustering
✅Implementation of Agglomerative Hierarchical Clustering
✅Association Rule Learning
✅Apriori algorithm - working and implementation
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