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How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow
⏲ 10 min 34 sec ✓ 06-Jul-2016
Shenzhen: The Growth and Livability of a Mega-City
⏲ 2 min 42 sec ✓ 20-May-2020
The Modern Lab Notebook: Scientific Computing with Jupyter and Python
⏲ 81 min 52 sec ✓ 10-Apr-2019
VITO Remote Sensing - A notebook application tailored for remote sensing users
⏲ 2 min 30 sec ✓ 29-Nov-2017
Python-Intro-for_DS-ML-Aspirants
⏲ 45 min 88 sec ✓ 13-Sep-2021
SAP S4HANA Logistics Certification Training- Intro Session - Trainer Ram | ZaranTech
⏲ 20 min 85 sec ✓ 03-Nov-2019
Data Science Training - Basics in Python Programming
⏲ 14 min 30 sec ✓ 09-Feb-2016
SVM - 15BCE0126
⏲ 5 min 87 sec ✓ 23-Mar-2018
Python NumPy Pandas MatPlotLib
⏲ 20 min 71 sec ✓ 03-Aug-2019
Linear Regression Python (sklearn, numpy, pandas)
⏲ 1 min 24 sec ✓ 16-Sep-2022
Learn Computer Programming, Mathematics and Java online with tutor Mansha Fatima
⏲ 69 sec ✓ 04-Oct-2022
W7-V9_NumPy y Pandas
⏲ 3 min 95 sec ✓ 21-Oct-2021
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_how-to-install-numpy-scipy-matplotlib-pandas-ipython-theano-and-tensorflow.webp "More free data science and machine learning tutorials at https://lazyprogrammer.me")
_shenzhen-the-growth-and-livability-of-a-mega-city.webp "Data visualization and interactive storytelling about Shenzhen. nThe web application was built with Nuxt.js, Mapbox GL JS & Studio, D3.js, and Baidu Map API. The vue-scrollama package was used for scroll events. The data was cleaned and managed by using Numpy and Pandas.nnThe Web Application: https://shuvitran.github.io/szapp/nnShenzhen, known as China's booming silicon valley today, used to be a small fish town 40 years ago. Today, it ranks one of the top mega-cities in China and leading ex")
_the-modern-lab-notebook-scientific-computing-with-jupyter-and-python.webp "You can think of this as three or four tutorial seminars rolled into one: no need to watch it in one sitting, and no need to watch it all! It starts with the basics, and builds up from there.nnIt’s intended for people who have some Python programming experience, but know little about the libraries that have become so popular recently in numerical analysis and data science. Or for people who may even have used them — pasted some code into a Jupyter notebook as part of a college exercise, say")
_vito-remote-sensing-a-notebook-application-tailored-for-remote-sensing-users.webp "The PROBA-V MEP (Mission Exploitation Platform) Notebooks web application lets you create and share documents that contain live code, equations, visualizations and explanatory text. It is based on the Open Source Jupyter notebooks application, and tailored to the needs of remote sensing users.nFor programming, you can choose between the Python and R programming languages. We also include an ever growing list of software libraries such as GDAL, rasterio, pandas, numpy, matplotlib and seaborn so y")
_python-intro-for-ds-ml-aspirants.webp "Visit us at https://teksands.ai . nThis video provides an Introduction to the Python language with focus on it's uses in Data Science and Machine Learning Applications. Covers internal data types, Collection Objects, Intro to Numpy and Pandas Libraries and Array, Series and DataFrame objects. Also, covers flat file handling using Python code and finally working with MySQL tables.")
_sap-s4hana-logistics-certification-training-intro-session-trainer-ram-124-zarantech.webp "For More Info: Please visit, zarantech.com/data-science-master-program/nContact: +1 (515) 309-7846 (or) Email - info@zarantech.comn==========================================nCourse Duration:100 hours Live Training + Assignments + Actual Project Based Case Studiesn===========================================nMODULES COVERED IN THIS TRAINING:nnUnit 1: Programming in python and r:nnBelow topics are covered in this Python essentials module for Data Science.nPython & R basics.nConditional and loop")
_data-science-training-basics-in-python-programming.webp "This is the recording from DeZyre's Data Science in Python training. In this first class of Data Science, the faculty is teaching basic Python programming concepts like print functions, data types, str, int, float and boolean.nnData Science is a domain in which we deal with a lot of data and come up with insights from the data. The data that is generated in the business is not clean and is chaotic. To get insights from the data a lot of work is involved – liken1. Extracting the datan2. Cleanin")
_svm-15bce0126.webp "SVMs are a popular classification technique used in data science and machine learning.nnIn this video, I walk through how support vector machines work in a visual way, and then go step by step through how to write a Python script to use SVMs to classify muffin and cupcake recipes.nnIn Part 1, I visually define the following terms:n- Marginn- Support vectorsn- HyperplanennIn Part 2 , I go through the following steps in a Jupyter Notebook:n- Import libraries (pandas, numpy, sklearn, matplotlib)n-")
_python-numpy-pandas-matplotlib.webp "Python NumPy Pandas MatplotLib basics for Machine Learning")
_linear-regression-python-sklearn-numpy-pandas.webp "Linear Regression Python (sklearn, numpy, pandas) from pandas numpy")
_learn-computer-programming-mathematics-and-java-online-with-tutor-mansha-fatima.webp "Master Computer Programming, Mathematics or Java with Lessonpal online tutor Mansha Fatima. Contact Mansha and book a free trial lesson today: https://lessonpal.com/mansha.nnWant to improve your grades, prepare for AP or final exams, crack SAT, ACT, MCAT, LSAT, and other tests, ace college admissions, learn languages, master musical instruments, or explore hobbies and extracurricular activities? Lessonpal connects you with affordable online tutors, teachers, instructors, counselors, and coache")
_w7-v9-numpy-y-pandas.webp "W7-V9_NumPy y Pandas from pandas numpy")
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