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Asma Farhan Profile
Asma Farhan

@aspenapp3

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Joined March 2022
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@aspenapp3
Asma Farhan
2 years
RT @OpenAI: We are excited to announce OpenAI's first international expansion with a new office in London! 🇬🇧
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openai.com
We are excited to announce OpenAI’s first international expansion with a new office in London, United Kingdom.
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@aspenapp3
Asma Farhan
2 years
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@grok
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Join millions who have switched to Grok.
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@aspenapp3
Asma Farhan
3 years
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@aspenapp3
Asma Farhan
3 years
Resample Data :.Resampling generates a unique sampling distribution on the basis of the actual data. Most commonly used time series frequency are –.W : weekly frequency.M : month end frequency.SM : semi-month end frequency (15th and end of month).Q : quarter end frequency.
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@aspenapp3
Asma Farhan
3 years
RT @exceldictionary: 10 must-know Excel shortcuts:.
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@aspenapp3
Asma Farhan
3 years
RT @aammar_tufail: Are you interested in learning Data Science skills on regular basis with small steps alongside your current job?.I will….
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@aspenapp3
Asma Farhan
3 years
step 4: View Missing number in each column of dataset by just using missingno function bar as below
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@aspenapp3
Asma Farhan
3 years
step 3: Load dataset
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@aspenapp3
Asma Farhan
3 years
step 2: Import libraries
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@aspenapp3
Asma Farhan
3 years
View Missing number in each column in dataset using missingno Library.step 1: Install library.#pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #Tips #machinelearning #Python #codanics #EACADEMY #PandasProfiling #EDA
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@aspenapp3
Asma Farhan
3 years
value_counts() function is used to get counts of unique values with in column. Like below after loading dataset i use value count() function on day column to get unique values from day column.#pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #Tips #machinelearning
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@aspenapp3
Asma Farhan
3 years
RT @arslanchaos: Reduce function is applied on a iterable object such as list/collections etc. and it reduces it to a single value. In the….
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@aspenapp3
Asma Farhan
3 years
Get Number of Row using pandas .1) Using len(df.index).2) Using count()[0].3) Using axes[0].4) Using shape[0].#pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #Tips #machinelearning #Python #codanics #EACADEMY #PandasProfiling #EDA
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@aspenapp3
Asma Farhan
3 years
Implicit and Explicit Conversion in python .Implicit conversion is when Python automatically converts the variable to a compatible type but in .Explicit conversion programmer convert the variable to the target type.#pythonkachilla2 #pythonkachilla #pakdatasci #DataScience
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@aspenapp3
Asma Farhan
3 years
In excel want to truncate number without rounding it .use =TRUNC(). #pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #Tips #machinelearning #Python #codanics #EACADEMY #PandasProfiling #EDA
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@aspenapp3
Asma Farhan
3 years
3⃣TextBlob:.It returns polarity and subjectivity of a sentence, with a Polarity range of negative to positive. The library’s semantic labels help with analysis, including emoticons, exclamation marks, emojis, and more.
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@aspenapp3
Asma Farhan
3 years
2⃣BERT (Bidirectional Encoder Representations from Transformers):. It is trained on English Wikipedia and Books Corpus, and it proved to be one of the most accurate libraries for NLP tasks.
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@aspenapp3
Asma Farhan
3 years
1⃣VADER:(Valence Aware Dictionary and sentiment Reasoner).It calculates the text sentiment and returns the probability of a given input sentence to be positive, negative, or neural.
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@aspenapp3
Asma Farhan
3 years
Sentiment Analysis or (opinion mining) is process of detecting data is Positive or Negative 😄😡.Libraries use for Sentiment Analysis in python:🗝️.#pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #Tips #machinelearning #Python #codanics #EACADEMY #PandasProfiling #EDA.
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@aspenapp3
Asma Farhan
3 years
The minimum disk space for an Anaconda installation is 6 GB, and the recommended amount is 20 GB. whereas .Miniconda need about 400 MB, much smaller than the full version of Anaconda, so extra packages have to be downloaded and installed as requested.
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