One of the most common tasks performed in NLP is the identification of parts of speech (POS).

Therefore, it is useful to know the definition of the basic classes of POS:
1⃣ Noun
2⃣ Pronoun
3⃣ Verb
4⃣ Adjective
5⃣ Adverb
6⃣ Adposition
7⃣ Conjunction
8⃣ Interjection

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Correlation is the degree and direction in which two variables are related or associated. Therefore, correlation coefficients are used to measure the strength of the relationship between two variables.

Let me tell you about them and their usefulness in #DataAnalytics 🧵

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A correlation can be positive, meaning that the 2 variables move in the same direction, or negative, meaning that they move in opposite directions. When the correlation is neutral (close to 0) it means that the 2 variables are unrelated.

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Two of the most important correlation coefficients are:
▪️ Pearson
▪️ Spearman

and what is the difference between them?

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Pearson's correlation coefficient is a statistical measure of the strength of the linear relationship between two numerical variables.

It is a very useful coefficient , but it is also very sensitive to outliers.

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Spearman correlation coefficient is a statistical measure of the strength of a monotonic relationship between two variables.

Spearman correlation is less sensitive than the Pearson correlation to outliers.

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Time series: types and their nature

▪️Stochastic: the property of being well described by a random probability distribution.

▪️Deterministic: system in which no randomness is involved in the development of future states.

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Therefore, stochastic time series can only be forecasted in a probabilistic sense.

Whereas a deterministic model will always produce the same result from a given starting condition or initial state.

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Processing images digitally with Python is not only a fun task, but it's also very easy to do.

In the following thread🧵, let me explain how you can do it from scratch using simple operations on a matrix.

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First of all, as a context, PNG (Portable Network Graphics) images can naturally be represented by a 2D matrix of pixels.

At the same time, the pixels are made up of 3 RGB components, representing the colors Red, Green Blue.

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Therefore, after converting a PNG image into a matrix, 2 operations that can be performed very easily are:

▪️Flip vertically: invert the order of the columns of the matrix

▪️Rotate 90 degrees: invert the rows by columns, traversing the matrix inversely

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In addition, the illumination of the image can be modified:

▪️Apply brightness: add a constant value to all pixels of the image (e.g. alpha 0.1)

▪️Apply contrast: subtract a constant value to all pixels of the image

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You can also calculate the negative of the image. To do this, subtract 1 from each color (maximum value for each component) and save the absolute value of this subtraction.

The image will look like this (very cool, right?):

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A time series (TS) is a series of data points indexed (or listed or graphed) in time order, with equally spaced time intervals.

Let me tell you a little about them, in the following thread 🧵

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Currently, time series analysis is applied in many fields, such as:

🔹Economic forecasting
🔹Inventory analysis
🔹Stock price forecasting
🔹Medical supplies forecasting
🔹Census analysis

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The 4 main components of a time series are:

▪️Level: the average value in the series if it were a straight line.
▪️Trend: the linear increasing or decreasing behavior of the series over time.

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and,

▪️Seasonality: the repeating patterns or cycles of behavior over time.
▪️Noise: the random variation in the series that cannot be explained by the model.

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A time series can be decomposed into its components using the following 2 methods:

▪️Additive decomposition: Level + Trend + Seasonality + Noise

▪️Multiplicative decomposition: Level * Trend * Seasonality * Noise

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ULTIMATE GUIDE TO 21 and 200 Moving Average
SUNDAY THREAD 🔖
A trend Following System That will Help You Improve Trading immensely.

RETWEET AND SHARE 🔄
@kuttrapali26 @AmitabhJha3
#stocks #StockMarket
1/n

Moving averages
EMA and SMA
1. Exponential Moving Average (EMA) is similar to Simple Moving Average (SMA), measuring trend direction over a period of time.
2. However, whereas SMA simply calculates an average of price data, EMA applies more weight to data that is more current
2/

21 EMA : SHORT TERM TREND
1. Calculates the Average Price of past 21 days
2. A stock above 21 ema is in strong momentum , which will give pullbacks to 21 ema again and again.
3. Stock above 21 ema should never be shorted so as to stay with the trend
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3. A stock which moves 10-15% above 21 ema will be too extended and hence will generally pullback
Stocks take dynamic support on 21 ema
4. You can Short only if its too extended like 15 to 20% from 21 ema ( Not advised )
#ADANIPOWER:
#pnbhousing
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1. Whenever 21 ema is sloping upwards its called uptrend
2. Whenever 21 ema is sloping downwards its called dowtrend
3. Whenever 21 ema is sideways its called consolidation
⏫Buy in uptrend
⏬Sell in downtrend
Examples:
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Varahi Amman, Madurai, Tamilnadu

Vaarahi is one of the Saivite Shakti deities with the group of goddesses known as SAPTAMATAS.
They are: Brahmi, Maheshwari, Kaumari, Vaishnavi, Vaarahi, Mahendri and Chamundi. 1/n

They are the Shakti (female) equivalents of their male counterparts. Vaarahi is the Shakti of Bhairavar who is one of the Amsam of Bhairavar.Created from the boar avatara of Vishnu, Vaarahi is often associated with Goddess Kamala (one of the Mahavidyas). 2/n

She is also called Dandini (Lady Commander of the forces of the Mother-Goddess, symbolizing the might of SriVidya). As Vaarahi ("hog-faced" or "the great consumer") she destroys evil forces that obstructs the devotees' progress, paralyses the enemies 3/n

and led the devotees ultimately to SriVidyas. She is also called Panchami). With Kurukalla, she is accorded the parental status to Sri-Chakra (Lalita Tripura-Sundari). While Kurukalla represents the full moon, Vaarahi represents the new-moon. 4/4

Jai Maa Varahi 🙏

Tag for 📷 credit

WEAPONS OF MAHADEV

Sarvaripati Shiva is one of the most fearsome manifestations of Mahadev. Assigned with destroying all of the universes at the end of time, Shiva is one of the most fearsome warriors. He is the Mrityunjaya.
Here are some weapons associated with him:

TRISHULA: the 3 pointed blades denote creation, maintenance, and destruction or the 3 Kalas – Past, Present and Future. They also represent 3 Gunas – Sattva, Rajas and Tamas).
Shiva’s trishul can only be stopped by Shiva himself.
@onlyonenetra @DetheEsha

Trishul is also said to represent Ida, Pingala, and Sushumna. These are the three basic nadis – the left, the right and the central – in the pranamaya kosha, or the energy body of the human system.
@iamkamyabuch @unever_followme

PARASHU: axe with 4 cutting edges which Shiva gave to Parashurama. In his anger, Parashurama used the parashu to get rid of the all the Earth’s tyrannical kshatriya caste twenty-one times over.
@harshasherni

CHANDRAHASA SWORD: The divine sword Chandrahasa literally means ‘the laughter of the moon’. Ravana gave this sword to Indrajit on different occasions especially to fight against Devas.
GIRISH: A special sword of Shiva with unique characteristics.

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