Discover and read the best of Twitter Threads about #pandas

Most recents (24)

This is the kind of paternalistic, unscientific nonsense that #MECFS #Lyme #Fibromyalgia #HSD #POTS #MCAS #Pandas #Pans #EDS #VaccineInjured #FQtoxicity patients have endured for decades. Now it’s the turn of #LongCovid
I’m going to make an offer to our colleague. Hopefully @DrKGregorovic can convey this message as I am blocked. Happy to have a Zoom coffee with both of you. We can examine
-the paper @awgaffney has tweeted & discuss the flaws
-the evidence for biomedical causation in #MECFS & LC
-the evidence for the ‘false sickness beliefs’
-the quality of the studies advocating exercise & talking therapies
-studies looking at the outcome of exercise in #MECFS & #LongCovid populations
-cardiovascular & other outcomes in #LongCovid

I think that is fair? Let me know
Read 6 tweets
Been experimenting with a brief monthly round-up of publications (peer-reviewed & media articles) that may be interest #PANS #PANDAS community. Small scale stuff, but there may be scope to turn this into a mail list so all the links would conveniently arrive in your inbox 1/n
March's round-up illustrated in the two jpegs above. Thank you @np9000 for being my wingman!
OCD in Pans/Pandas in Children: In Search of a Qualified Treatment; a Systematic Review & Metanalysis. Cocuzza, et al. Children 9, no. 2 (2022).…
There follows:
Neuroinflammation in a Rat Model of Tourette Syndrome. Zhongling, Ke, Chen Yanhui, Chen Guofeng, and Liu Yanyan. Original Research, Frontiers in Behavioral Neuroscience 16 (2022).…
Read 17 tweets
But what p-value means in #MachineLearning - A thread

It tells you how likely it is that your data could have occurred under the null hypothesis


#DataScience #DeepLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat
What Is a Null Hypothesis?

A null hypothesis is a type of statistical hypothesis that proposes that no statistical significance exists in a set of given observations.

#DataScience #MachineLearning #100DaysOfMLCode #Python #stat #Statistics #Data #AI #Math #deeplearning
A P-value is the probability of obtaining an effect at least as extreme as the one in your sample data, assuming the truth of the null hypothesis

#DataScience #MachineLearning #100DaysOfMLCode #Python #DataScientist #Statistics #Data #DataAnalytics #AI #Math
Read 11 tweets

"roc_auc_score" is defined as the area under the ROC curve, which is the curve having False Positive Rate on the x-axis and True Positive Rate on the y-axis at all classification thresholds.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python
Read 16 tweets
What is p-value - A thread

It tells you how likely it is that your data could have occurred under the null hypothesis.


#DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat Image
What Is a Null Hypothesis?

A null hypothesis is a type of statistical hypothesis that proposes that no statistical significance exists in a set of given observations.

#DataScience #MachineLearning #100DaysOfMLCode #Python #stat #Statistics #Data #AI #Math #deeplearning
A P-value is the probability of obtaining an effect at least as extreme as the one in your sample data, assuming the truth of the null hypothesis

#DataScience #MachineLearning #100DaysOfMLCode #Python #DataScientist #Statistics #Data #DataAnalytics #AI #Math
Read 10 tweets
It has been an honour to walk alongside my friend & colleague of 21 years @BinitaKane & her daughter Jasmin on their courageous & inspiring journey. #LongCovid in adults children is real & serious. There are treatments available- sadly only for a fortunate few #TeamClots 1/n
(Everything I say is with the express permission of @BinitaKane). Jasmin is not the only child with #LongCovid who has been shown to have microclots & hyperactivated platelets. They are a consistent finding in kids & adults who have travelled for treatment to Germany & SA 2/n
Globally 100m are affected by this vile illness. In the U.K. alone this figure is estimated to be 1.8m, with 2/3rds reporting an adverse impact on their daily activities. 1% of primary & 2.7% of secondary school children fulfilled the criteria for #LongCovidKids 3/n
Read 17 tweets
The British Association of Social Workers have published Fabricated & Induced Illness & Perplexing Presentations Practice Guide…
(PP ~ MUS) 🧵1/20
@doctorasadkhan @NurseDiane2020 @PandasPans @LongCovidKids @FiGullonScott @BASW_UK
This well-considered & positive document provides guidance to social workers (SW) to enable them to adopt professional curiosity & respond ethically to FII concerns. The following points are some that I feel are relevant to #PANS #PANDAS #LongCovid #MECFS #EDS communities 2/20
lt is recommended SW need to be aware of the lack of evidence for currently used indicators for FII & perplexing presentations and the high incidence of these indicators identifying children where illness is neither fabricated or induced #PANS #PANDAS #MECFS #EDS #LongCovid 3/20
Read 20 tweets
[Data Analysis] 🧵
Exploratory data analysis is a fundamental step in any analysis work. You don't have to be a data scientist and be proficient at modeling to be a useful asset to your client if you can do great EDA.

Here's a template of a basic yet powerful EDA workflow👇
EDA is incredibly useful. Proper modeling CANNOT happen without it.

The truth:
Stakeholders NEED it far more than modeling.

EDA empowers the analyst with knowledge about the data, which then moderates the #machinelearning pipeline
While #pandas and #matplotlib are key to good EDA in #python, the real difference are the QUESTIONS you ask to your dataset.

As in all things, these tools are just tools. The real weapon is the analyst. You are in control, not the dataset.
Read 10 tweets
Introducing the #PythonResolver Roadmap to learn #Python + #DataScience 👀

During 3 years working as a Private Tutor, I have tried a variety of materials with more than 500 students from several industries:

· Medicine
· Finance
· Energy
· Psychology

Check it out ↓
#1 Resolving #Python for Data Science

Please, read the README files of every GitHub repository you want to interact with. They explain how to use the materials.

Otherwise, you'll go over the materials like a headless chicken 🍗…
If you have any doubts, please reply to the tweet you doubt with.

I will be more than happy to help you because you give me feedback to improve my content and grow as a content creator!

Win-win 😉
Read 15 tweets

"roc_auc_score" is defined as the area under the ROC curve, which is the curve having False Positive Rate on the x-axis and True Positive Rate on the y-axis at all classification thresholds.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python
Read 17 tweets
I realized today one of the reasons I appreciate working for a system integrator. Last time this year I was training in #Scala and #Spark. Then, I was placed in a project using #python, #pandas, #pyspark and #sql. That ended 12/31/21 and I had a short break before joining...
a pilot project working with #terraform, #aws, #boto3 with #python, #informatica, #autosys and #shellScripting. Not to mention the increasing frequency of situations that are like "Here is some technology setup that you have never seen before, here is some rudimentary docs,...
Figure it out in 1 or 2 sprints, provide deliverable artifacts and documentation on the preexisting system AND the new artifacts. Thx, k. Bai!" Oh, and teammates you joined with, they all have a shit-ton of stuff, so don't expect replies to your msgs.

Cue: 1. panic, then...
Read 6 tweets
Resources for getting started in #DataScience

Where to start? What to read? What to learn? I got you covered.

🧵 See thread below 👇
2/ Roadmap to #datascience

Here's my 4 step process on becoming a data scientist
1. Plan
2. Learn
3. Build
4. Explain

👉 Video
👉 Blog…
3/ Create your own #datascience learning curriculum

Everyone's interest or needs are different. Therefore the destiny of everyone's learning journey is also different.

Create your own curriculum. Here's how:

👉 Video
👉 Blog…
Read 9 tweets
Want a #Python #pandas data frame with all Apollo missions, indexed by date?

df = pd.read_html('')[2]

df['Date'] = pd.to_datetime(df['Date'].str.replace('(–.+)?,', '', regex=True))

df = df.set_index('Date')
The first line scrapes the Wikipedia page for the Apollo program, putting all HTML tables into data frames. The missions are in the third table, aka index 2.

The second line turns lines containing date ranges into single (launch) dates, also removing commas and hyphens.
That second line then takes the resulting cleaned-up date strings, and passes them to pd.to_datetime. The resulting datetime series is then assigned back to df['Date'].
Read 4 tweets
Quick Thread : 5 Cool Advanced Pandas Techniques for Data Scientists

#Python #DataScience #MachineLearning #DataScientist #Programming #Coding #100DaysofCode #hubofml #Pandas
1. Split data using pandas
In the code below, we are splitting the data into a random sample of rows and removing them from the original data after dropping index values.
2. Binning Data
Binning is a technique to group/bin your data into multiple buckets which is very helpful if you dealing with continuous numeric data. In pandas you can bin the data using functions cut and cut. First check the shape of your data i.e no of rows and columns.
Read 7 tweets
Pandas is a fast, powerful, flexible and open source data analysis and manipulation tool.

A Mega thread 🧵covering 10 amazing Pandas hacks and how to efficiently use it(with Code Implementation)👇🏻
#Python #DataScientist #Programming #MachineLearning #100DaysofCode #DataScience
1/ Indexing data frames
Indexing means to selecting all/particular rows and columns of data from a DataFrame. In pandas it can be done using two constructs —
.loc() : location based
It has methods like scalar label, list of labels, slice object etc
.iloc() : Interger based
2/ Slicing data frames
In order to slice by labels you can use loc() attribute of the DataFrame.

Implementation —
Read 17 tweets
1/ #Pandas is the go-to library that you need for #datawrangling for your #datascience projects when coding in #Python.
👀🧵👇 See thread below
2/ Why Do We Need Pandas?
The Pandas library has a large set of features that will allow you to perform tasks from the first intake of raw data, its cleaning and transformation to the final curated form in order to validate hypothesis testing and machine learning model building.
3/ Basics of Pandas - 1. Pandas Objects
Pandas allows us to work with tabular datasets. The basic data structures of Pandas that consists of 3 types: Series, DataFrame and DataFrameIndex. The first 2 are data structures while the latter serves as a point of reference.
Read 10 tweets
Want to become a Data Scientist? Here are some great resources that you should watch in order;Statistics & Linear Algebra Not Included 🧵
#100DaysOfCode #100DaysOfMLCode #DataScience #AI #MachineLearning #ArtificialIntelligence #ML #Coding #Coders #PyTorch #Tensorflow #Developer
Part 1 of Microsoft's Intro to Python Series:
Gets you up and running in python and introduces you to the basics of setting up your development environment.…
Continuation of the series above.…
Read 17 tweets
Will Slovakia avoid „Czech scenario“?
Health minister #marekkrajčí 16.10. first time publicly compared the second wave COVID-19 trends in Slovakia and Czech republic in a chart showing that Slovakia is following the scenario in Czech republic with a delay of 2~3weeks.: Source:
Trend chart from few days ago (22.10.) was even worse and clearly showing that Slovakia is repeating the Czech scenario: Image
Somewhere here we should be looking for motivation of the government in Slovakia and prime minister #igormatovič to solve the problem of rising second wave of epidemics and dark vision of collapsing health care by unusual way - #masstesting in combination with limited lockdown.
Read 67 tweets
Jensen Huang, @nvidia CEO just kicked off #GTC2020 with a keynote that covered several groundbreaking announcements and partnerships. The future of #AI and #Nvidia is incredibly exciting. Here's a thread of the (many) key takeaways. Let's get started!🧵👇
The main focus this time was on #AI & high performance computing in the data center & on the edge. This #GTC2020 Nvidia is releasing 80 new and updated SDKs. CUDA, Nvidia's toolkit for GPU powered applications, has been downloaded 20M times, 6M in 2020 alone. Image
#Omniverse, Nvidia's platform for simulation & collaboration is now in open beta. Using Omniverse teams can simultaneously work in Blender, Maya, Unreal etc and view the results rendered in real time in a common interface. Image
Read 29 tweets
Pandyas of South India: #pandas #madurai #tamilnadu #pandyandynasty
The Pandya dynasty was one of the greatest South Indian kingdoms. But what made them so great?

The main reason for the greatness of Pandyas were their conquests. They almost conquered almost all of the South India and earned respect from all over.
Pandyan kings were smart enough to choose Madurai as their capital. Madurai had lots of rocks for buildings and was also rich in pearls. This allowed Pandya kingdom to trade all across the world.

Another way the Pandya empire gained power was through their architecture.
Read 5 tweets
Please help us welcome our next curator Darryl Takudzwa Griffiths. @BlaqNinja completed his Bachelors Degree in Computer Engineering at DUT, graduated in 2011. Due to struggling to find suitable employment he went on to study multiple certificates from bodies such as Microsoft.
He has certificates in N+ (Computer Networking), A+ (Computer Technician & Technical Support), Certified Ethical Hacking V7 (CEH v7), Offensive Security Certified Professional (OSCP). Sadly even with these, he could not secure his desired post so in 2016 he moved to USA.
Darryl was able to secure a job in a corporation that owns casinos as a system analyst & security architect. Within the same year he embarked on a Masters degree in Robotics & Artificial Intelligence Engineering. In 2017 he resigned from his post and started his own company...
Read 99 tweets
How to move towards Quantitative Trading :

1) Learn Python
2) Learn key trading libraries & Pandas
3) Data visualisation using seaborn & matplotlib
3) Statistics for Financial Markets
4) Backtest your strategies
5)Optimise & Automate
6) ML insights for trading

#quant #trading
1) This is a good basic course on Udemy to learn about Python required for trading…

2) Learn about Pandas( cruciwl for data cruncing & handling time series data)…

Also install talib: an essential library for a trader. It has inbuilt functions for all technical indicators making our life easy.…

Read 9 tweets
I used Matlab for image processing for years. Tried to switch to Python 10 years ago but too many tools were still missing. Tried again 5 years ago and haven't touched Matlab ever since! The combination scikit-image + @ProjectJupyter was a real game-changer! A few more things:
On top of the great classics scientific stack (#numpy, #scipy, #pandas, #matplotlib) there's an entire ecosystem of new tools to handle all sorts of complex problems. E.g. #napari to visualize and annotate multi-dimensional data. @dask_dev to handle very large images.
Complex ML tools for image denoising like content-aware image restoration #CARE ( or point-scanning super-resolution #PSSR ( which are documented as Jupyter notebooks that really work "out of the box".
Read 7 tweets

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