Sam  Son

Sam Son


Candlestick Chart with Python | Data Science | Machine Learning | Python

To visualize our data in the form of Candlesticks, we must be having data that comprises open price, high price, low price, and close price. It is mainly used in financial analysis, so I will use the stock market data of Google of this year starting from January till 8 August.

Interactive Candlestick Chart with Python

Japanese commodity Traders created this technique to build this type of chart, and initially, they were known as the Japanese Candlesticks. I will not go in that much detail because our end goal is to visualize this chart using Python.

I will scrape the stock market data of Google from  yahoo finance using the pandas_datareader package. If you don’t want to scrape the data and want to use a CSV file, you can also download it from yahoo finance. Now let’s import the necessary packages we need for this task:

import plotly.graph_objects as go
import pandas_datareader as web

Now let’s scrape the data using pandas_datareader:

df = web.DataReader('GOOG', data_source='yahoo', start='2020-01-01', end='2020-08-08')
High Low … Volume Adj Close
Date …
2019-12-31 1338.000000 1329.084961 … 961800 1337.020020
2020-01-02 1368.140015 1341.550049 … 1406600 1367.369995
2020-01-03 1372.500000 1345.543945 … 1186400 1360.660034
2020-01-06 1396.500000 1350.000000 … 1732300 1394.209961
2020-01-07 1402.989990 1390.380005 … 1502700 1393.339966

#python #data science #machine learning

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Candlestick Chart with Python | Data Science | Machine Learning | Python
Ray  Patel

Ray Patel


Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services


When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.

Python Packages

When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,

  • revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
  • microsoftml – This is another Microsoft Python package which adds machine learning algorithms in Python.
  • Anaconda 4.2 – Anaconda is an opensource Python package

#machine learning #sql server #executing python in sql server #machine learning using python #machine learning with sql server #ml in sql server using python #python in sql server ml #python packages #python packages for machine learning services #sql server machine learning services

akshay L

akshay L


Data Science With Python Training | Python Data Science Course | Intellipaat

In this Data Science With Python Training video, you will learn everything about data science and python from basic to advance level. This python data science course video will help you learn various python concepts, AI, and lots of projects, hands-on demo, and lastly top trending data science and python interview questions. This is a must-watch video for everyone who wishes o learn data science and python to make a career in it.

#data science with python #python data science course #python data science #data science with python

Cyrus  Kreiger

Cyrus Kreiger


How I'd Learn Data Science If I Were To Start All Over Again

A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start? The funny thing was that the path that I imagined was completely different from that one that I actually did when I was starting.

I’m aware that we all learn in different ways. Some prefer videos, others are ok with just books and a lot of people need to pay for a course to feel more pressure. And that’s ok, the important thing is to learn and enjoy it.

So, talking from my own perspective and knowing how I learn better I designed this path if I had to start learning Data Science again.

As you will see, my favorite way to learn is going from simple to complex gradually. This means starting with practical examples and then move to more abstract concepts.

#data-science #machine-learning #artificial-intelligence #python-top-story #data-science-top-story #learn-python #learn-data-science

Uriah  Dietrich

Uriah Dietrich


How To Build A Data Science Career In 2021

For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.

“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.

#careers # #data science aspirant #data science career #data science career intervie #data science education #data science education marke #data science jobs #niit university data science

5 stages of learning Data Science

With recruiters listing a myriad of “preferred skills” in their job postings, learning Data Science can get quite overwhelming at times. Dividing the journey up into five chapters can provide a clearer picture of what lies ahead.

#machine-learning #learn-data-science #data-science-training #python-for-data-science #data-science-courses