वर्ग
प्रौद्योगिकियाँ
Python ट्यूटोरियल
Python प्रोग्रामिंग से जुड़ी ताज़ा खबरों, तकनीकों और संसाधनों से अपडेट रहें। हमारे ट्यूटोरियल्स व्यावहारिक चरण-दर-चरण मार्गदर्शिकाओं और उपयोग मामलों से भरे हैं, जिनसे आप अपनी स्किल बढ़ा सकते हैं।
अन्य प्रौद्योगिकियाँ:
दो या दो से अधिक लोगों को प्रशिक्षण देना?DataCamp for Business को आज़माएँ
Asyncio: An Introduction
A short introduction to asynchronous I/O with the asyncio package.
8 मई 2017
Scikit-Learn Tutorial: Baseball Analytics Pt 1
A scikit-learn tutorial to predicting MLB wins per season by modeling data to KMeans clustering model and linear regression models.
4 मई 2017
Viewing 3D Volumetric Data With Matplotlib
In this Python tutorial, you'll make use of Matplotlib's event handler API to display the slices of an MRI dataset.
19 अप्रैल 2017
Exploratory Data Analysis of Craft Beers: Data Profiling
In this tutorial, you'll learn about exploratory data analysis (EDA) in Python, and more specifically, data profiling with pandas.
13 अप्रैल 2017
Python Exploratory Data Analysis Tutorial
Learn the basics of Exploratory Data Analysis (EDA) in Python with Pandas, Matplotlib and NumPy, such as sampling, feature engineering, correlation, etc.
15 मार्च 2017
Python Dictionary Tutorial
In this Python tutorial, you'll learn how to create a dictionary, load data in it, filter, get and sort the values, and perform other dictionary operations.
16 फ़रवरी 2017
Scipy Tutorial: Vectors and Arrays (Linear Algebra)
A SciPy tutorial in which you'll learn the basics of linear algebra that you need for machine learning in Python, with a focus how to with NumPy.
8 फ़रवरी 2017
Web Scraping and Parsing Data in R | Exploring H-1b Data Pt. 1
Learn how to scrape data from the web, preprocess it and perform a basic exploratory data analysis with R
12 जनवरी 2017
Preprocessing in Data Science (Part 3): Scaling Synthesized Data
You can preprocess the heck out of your data but the proof is in the pudding: how well does your model then perform?
10 मई 2016
Preprocessing in Data Science (Part 2): Centering, Scaling and Logistic Regression
Discover whether centering and scaling help your model in a logistic regression setting.
3 मई 2016
Preprocessing in Data Science (Part 1): Centering, Scaling, and KNN
This article will explain the importance of preprocessing in the machine learning pipeline by examining how centering and scaling can improve model performance.
26 अप्रैल 2016