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Showing posts from September, 2021

Free IPL Live match watch apps Download

  HD STREAMZ APK Download (Latest Version) Watch IPL 2021 Cricket Matches Live on Your Mobile HD Streamz APK is a stunning application that acts as a small Live TV on your Android device. This application offers you many TV channels from all over the world and India so you can watch anything you want. Apart from this, you can also get access to online radio. This application provides you different games, films, cartoons for children, and much more. Thus, you can watch anything on this   streaming app without any charges. HD STREAMZ  welcomes you to a world full of entertainment from Hollywood movies to Bollywood movies from action to thrilling series.   Basically,  HD STREAMZ   Apk  can be a  free Android application  that you can use for pictures, watch live TV, athletics activities, web series, First, go to setting and turn on the “unknown source” option. · Now  download  the  app  from above, where the latest version has already been shared. · After  downloaded , HD STREAMZ  APK  i

Free IPL Live match watch apps Download

Pikashow APK Download (Latest Version)           Watch IPL 2021 Cricket Matches Live on Your Mobile Pikashow  welcomes you to a world full of entertainment from Hollywood movies to Bollywood movies from action to thrilling series.   Basically,  PikaShow Apk  can be a  free Android application  that you can use for pictures, watch live TV, athletics activities, web series, First, go to setting and turn on the “unknown source” option. · Now  download  the  app  from above, where the latest version has already been shared. · After  downloaded , Pikashow APK  is a powerful live TV  Application  for  Android  users. In the meantime, people go through a vast number of video-based  applications . Welcome to the official  IPL app . This  app  is  free  of adverts, bringing you LIVE action and exclusive coverage of the Indian Premier League... Key features >> Click Here For Download << Please Subscribe our Channel  1 click Only   Let's Collect

Machine Learning with Python: Zero to GBMs | Jovian | Free Course

  Machine Learning with Python: Zero to GBMs Machine Learning with Python: Zero to GBMs A beginner-friendly introduction to supervised machine learning, decision trees, and gradient boosting using Python and its ecosystem of ML libraries: scikit-learn, XGBoost, and LightGBM. Earn a verified certificate of accomplishment by completing practical assignments and building a real-world course project. Watch hands-on coding-focused video tutorials Practice coding with cloud Jupyter notebooks Build an end-to-end real-world course project Earn a verified certificate of accomplishment Interact with a global community of learners You will solve 2 coding assignments & build a course project where you'll train ML models using a large real-world dataset. Prerequisite:  Data Analysis with Python: Zero to Pandas . Lesson 1 - Linear Regression with Scikit Learn Preparing data for machine learning Linear regression with multiple features Generating predictions and evaluating models Lesson 2 - L

Data Analysis with Python: Zero to Pandas | Jovian | Free Course

  Data Analysis with Python: Zero to Pandas                              That is an amazing Course in Jovian Platform  Data Analysis with Python: Zero to Pandas is a practical and beginner-friendly introduction to data analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.  You can earn a verified certificate of accomplishment by completing assignments and doing a course project. Watch hands-on coding-focused video tutorials Practice coding with cloud Jupyter notebooks Build an end-to-end real-world course project Earn a verified certificate of accomplishment The course is self-paced and there are no deadlines. There are no prerequisites for this course. Read the  course FAQs  or visit the  Community Discussion Forum  to learn more. Lesson 1 - Introduction to Programming with Python Course overview & curriculum walkthrough First steps with Python and Jupyter notebooks A quick tour of variables and data types Branching with conditi