Complete Data Science, Deep Learning, R | Data Science 2021 Duration: 23h 12m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 6.9 GB Genre: eLearning | Language: English
Data Science A-Z, Python for Data Science, R for Data Science, Statistics for Data Science, Math for Deep Learning What you'll learn Python Python instructors on Udemy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels. Fundamental stuff of Python and its library Numpy What is the AI, Machine Learning and Deep Learning History of Machine Learning Turing Machine and Turing Test The Logic of Machine Learning such as Machine Learning models and algorithms, Gathering data, Data pre-processing, Training and testing the model etc. What is Artificial Neural Network (ANN) Anatomy of NN Tensor Operations Python instructors on Udemy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels. Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. Whether you’re a marketer, video game designer, or programmer, I am here to help you apply machine learning to your work. The Engine of NN Keras Tensorflow Convolutional Neural Network Recurrent Neural Network and LTSM Transfer Learning Machine Learning Deep Learning Machine Learning with Python Python Programming Deep Learning with Python If you have some programming experience, Python might be the language for you Learn Fundamentals of Python for effectively using Data Science Data Manipulation Learn how to handle with big data Learn how to manipulate the data Learn how to produce meaningful outcomes Learn Fundamentals of Python for effectively using Data Science Numpy arrays Series and Features Combining Dataframes, Data Munging and how to deal with Missing Data How to use Matplotlib library and start to journey in Data Visualization Also, why you should learn Python and Pandas Library Learn Data Science with Python Examine and manage data structures Handle wide variety of data science challenges Select columns and filter rows Arrange the order and create new variables Create, subset, convert or change any element within a vector or data frame Transform and manipulate an existing and real data The Logic of Matplotlib What is Matplotlib Using Matplotlib Pyplot – Pylab - Matplotlib Figure, Subplot, Multiplot, Axes, Figure Customization Data Visualization Plot Customization Grid, Spines, Ticks Basic Plots in Matplotlib Seaborn library with these topics What is Seaborn Controlling Figure Aesthetics Color Palettes Basic Plots in Seaborn Multi-Plots in Seaborn Regression Plots and Squarify Geoplotlib with these topics What is Geoplotlib Tile Providers and Custom Layers R and Python in the same course. You decide which one you would go for! R was built as a statistical language, it suits much better to do statistical learning and R is a statistical programming software favoured by many academia Since R was built as a statistical language, it suits much better to do statistical learning. It represents the way statisticians think pretty well, so anyone with a formal statistics background can use R easily. Python, on the other hand, is a better choice for machine learning with its flexibility for production use, especially when the data analysis tasks need to be integrated with web applications. If you enroll this course you will have a chance to learn both You will learn R and Python from scratch Because data can mean an endless number of things, it’s important to choose the right visualization tools for the job. you’re interested in learning Tableau, D3 js, After Effects, or Python, has a course for you. Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Machine Learning, and more!