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The ultimate, complete with examples and hands on Labs SQL training plus guide to Oracle exam 1z0-071. What you’ll learn What is SQL and its importance in databases Access Oracle database and its development environment Write efficient SQL queries to produce accurate reports Understand the different types of SQL statements and how to use
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Data Science 2021 : Complete Data Science What you’ll learn Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package Gain an in-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing Master the essential concepts of Python programming, including
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At the present time, everyone is hosting a personal or portfolio website to showcase his information on the Web. If you wish to host your own personal website but don’t really have to budget for it, this post is right up your alley. This simple tutorial will show you how you can host a basic website
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Theory and Python What you’ll learn Basics of Deep Learning Artificial Neural Network Artificial Neural Network with Keras, Python Regression and Classification with Artificial Neural Network Requirements None Description Welcome to Deep Learning Fundamentals, Artificial Neural Network. This course covers the basic theory and Python practice of artificial neural networks. This course is
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Learn How To Code Python For Data Science, ML & Data Analysis, With 100+ Exercises and 4 Real Life Projects ! What you’ll learn Build a Solid Foundation in Data Analysis with Python You will be able to work with the Pandas Data Structures: Series, DataFrame and Index Objects Learn hundreds of methods and attributes
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Decision Trees and Ensembling techinques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming What you’ll learn Solid understanding of decision trees, bagging, Random Forest and Boosting techniques in R studio Understand the business scenarios where decision tree models are applicable Tune decision tree model’s hyperparameters and evaluate its performance. Use
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Build a Portfolio of 5 Data Analysis Projects with Python, Seaborn, Pandas, Plotly, Folium, TextBlob ,Geopy & Many more What you’ll learn Get a job as a data Analyst on an average $156,000 after showcase these Projects on your Resume By the end of this course you will understand the inner workings of the data
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Create new Artificial Intelligence applications using Python, R, Google Colab, UIPath, Power BI. What you’ll learn Learn about Artificial Intelligence and related technologies with practical examples and information. Be familiar with Python, R, UIPath, Power BI and mobile app programming Create new applications using Machine Learning, Deep Learning, and Computer Vision Learn about Data Science
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Learn to Analyse , Make Predictions, Explore data Frames,Clean and Visualize Data What you’ll learn Install Jupyter Notebook Server Create a new notebook Explore Components of Jupyter Notebook Understand Data Science Life Cycle Use Kaggle Data Sets Perform Probability Sampling Explore and use Tabular Data Explore Pandas DataFrame Manipulate Pandas DataFrame Perform Data Cleaning Perform
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Build 3 Real World Practical Projects and Go from Zero to Hero in Machine Learning by following Entire Life-cycle of ML What you’ll learn Hands on Real-World Projects on Various Domains of Machine Learning How to apply Machine learning Algorithms in Real Life Challenges How to build your skiils in Data science , Machine Learning
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