In preparation of Locals Strictly Index by using Manufactured Neural Community

In This Video we will be discussing „Forecasting of Indian Stock Market Index using Artificial Neural Network“

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About : Bramesh Tech Analysis facilitates traders with the technical analysis of stocks, derivatives, futures and commodities, helps them understand the market dynamics of trading world with the extensive use of Gann Price and Time Methodologies. Our array of independent analysis and training sessions would allow traders to make informed and better trading decisions. Our trading methods are rule-based and systematic that will guide you every step of the way.

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The right time Number Conjecturing by using Machine Learning


Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I’ve been using Kite. Love it!
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0:00 Introduction
1:51 Defining Problem
2:50 Understanding the Data
3:18 Analyzing Data (Trend, Seasonality)
4:40 Traditional Timeseries Forecasting (ARIMA, Prophet)
6:01 Univariate & Multivariate Time series
8:15 Time series with Machine Learning
9:02 Types of Time series models
11:05 Machine Learning Vs. Traditional Time Series

[1] Math behind Facebook prophet:
[2] Traditional time series analysis step by step:
[2] Dealing with time series data:
[3] Catboost is slick :

Deal Ideas: 5 Uncomplicated Guide on how to Make income using The Investment

Investment Tips: 5 Simple Tips On How to Make Money From The Stock Market

#Investmenttips tayo ngayon, mga KaChink! If you are with stock market, then this video is for you!

Allow me to teach you this 5 simple tips on how to make money on stock market. Maraming nagsasabi na maraming nalulugi pagdating sa stocks, however marami paring interested sa investment ng stock market dahil malaki ang kita dito if you do it right. Just like in any other businesses, we must learn how to do our own due diligence. As an investor, hindi lang tayo dapat naglalagay ng pera sa mga investments. Aralin natin ang stock market. Paano kaya kumikita dito?

Speaking of kita, here are some basic investment tips na pwede niyong maapply when you join the stock market. Itong 5 basic investment tips na ito ay ilan lamang sa mga principles na maganda nating i-practice para tayo ay kumita sa stock market. Yung number 4 sa video, sobrang helpful siya lalo na sa mga nagsisimula palang sa industriya ng investment ng stock market. I-share niyo rin sa amin ang experience niyo pagdating sa investments at pag-usapan natin siya.

Also, if you are interested to learn more about this, we will be having a special webinar session with a stock expert, Mr. Mark Germo. Just type the word „Stock Market“ and we will give you the link to the session on Aug 24, 9pm – 12mn. See you there!


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All the basics about Index Investing in Philippine Stock Market through Mutual Funds and ETF (Exchange Traded Funds).

Download your quick start guide for beginners –

0:00 Intro
1:45 What is an Index
3:16 Stock Market Indeces
5:16 Philippine Stock Market Index
8:09 PSEi Total Return Index (PSEi TRI)
9:24 Index Investing
10:22 Advantages of Investing in Index
12:17 Risk when Investing in Index
14:31 How to Invest in an index in the Philippines
14:45 Index Mutual Funds
20:24 Exchange Traded Fund (ETF)
21:54 FMETF (First Metro Phil Equity ETF)
24:21 Index Investing Strategy

How to Open your Online Trading Account (kahit sa bahay) –
Online COL Financial Tutorial –
Investing Tips & Tricks –
Investing Fees & Strategies –
Market Timing (When to buy & sell stocks) –
How to get Dividends (Ex-Date, Record Date, Payment Date) –
Best Performing Mutual Funds in the Philippines –

Download your quick start guide for beginners –
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Listar Regression Machine Learning Formula Using Scikit-learn & Pandas in Python that Training thirty

In this tutorial on Python for Data Science, You will learn about Multiple linear regression Model using Scikit learn and pandas in Python. You will learn about how to check missing data and Correlation.

This is the 30th Video of Python for Data Science Course! In This series I will explain to you Python and Data Science all the time! It is a deep rooted fact, Python is the best programming language for data analysis because of its libraries for manipulating, storing, and gaining understanding from data. Watch this video to learn about the language that make Python the data science powerhouse. Jupyter Notebooks have become very popular in the last few years, and for good reason. They allow you to create and share documents that contain live code, equations, visualizations and markdown text. This can all be run from directly in the browser. It is an essential tool to learn if you are getting started in Data Science, but will also have tons of benefits outside of that field. Harvard Business Review named data scientist „the sexiest job of the 21st century.“ Python pandas is a commonly-used tool in the industry to easily and professionally clean, analyze, and visualize data of varying sizes and types. We’ll learn how to use pandas, Scipy, Sci-kit learn and matplotlib tools to extract meaningful insights and recommendations from real-world datasets.

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present: Process-guided immersed practicing: Enhancing drinking water supply analysis by using enhanced cross products

CUAHSI’s 2019 Spring Cyberseminar Series: Recent advances in big data machine learning in Hydrology
Date: May 3, 2019
Topic: Process-guided deep learning: Improving water resource predictions with advanced hybrid models
Presenters: Jordan Read (USGS) and Vipin Kumar (University of Minnesota)

End to complete Multivariate Time frame Group Representing using LSTM

#datascience #deeplearning #LSTM

Entire Time Series Course –

In this video we will see how we can build a multi variate time series model using Deep learning LSTM sequence model. We will see end to end time series model building process in this video
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Pattern Recognition using Artificial Neural Network

A pattern recognition software I wrote in C# using a three-layers neural network with backpropagation.

It was generally supposed to be an Optical Character Recognition software, but it works for other simple patterns as well, such as, happy smiley or sad smiley.
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Financial Time Series Analysis using Wavelets

1. QX Data Science Event | 10.05.2019 | QX Manor in Frankfurt am Main


Presentation by Markus Vogl at the 1. QX Data Science Event about Financial Time Series Analysis using Wavelets.
Contains Explanations of Financial Time Series Properties (e.g. Markov, Martingale, Stationarity & Gaussianity versus Fractality & Momentum), Signal Theory (e.g. Fourier Analysis, Short Time Fourier Analysis & Continuous as well as Discrete Wavelet Transformations).
Concludes with outlook into research on Wavelet Neural Networks, Fractals & Chaos Theory.

Partners, Event-Team & Presentor:

University of Applied Sciences Aschaffenburg:

Mandelbrot Asset Management GmbH:


Markus Vogl {Business & Data Science} :
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