Azure Certified Senior Data Engineer | Expert in Real-Time Data Processing & Cloud Solutions | Open to Data Engineer Opportunities
Few tests which we need to implement in our Machine Learning Work Flow !! 🧑💻 1. Unit Tests 2. Integration Tests 3. Model Sanity Checks 4. Performance Tests 5. Integrity #datascience #machinelearning #ai #python #sql #deeplearning #jupyternotebook #cicd
I am currently building models using the following: 1. Logistic Regression 2. Decision Tree 3. Random Forest 4. XGBoost The above models are for binary "y" dependent variables. As for continuous "y" dependent variable, I will likely build: 1. Simple linear Regression (may not) 2. Multiple linear regression One step at a time, In Sha Allah, I will be there. #machinelearning #python #googlecertificate #coursera #dataanalytics #dataanalysis #dataanalyst #datascience #datascientist
Vice President - Cloud Engineering | Kubernetes | SRE | AI Enthusiast | Goldman Sachs | IIM Bangalore | LinkedIn Top Voice
𝐏𝐚𝐧𝐝𝐚𝐬 is a powerful Python library essential for data manipulation. Mastering it is crucial for success in AI/ML. I came across this handy cheat sheet that can help you. What are your go-to Pandas functions for efficient data manipulation? Credit : https://pandas.pydata.org/ #pandas #python #AI #ML #cheatSheet #AIML
String is Sequenced characters, which make sense. Strings are immutable. We can get desire results from string by using different functions, but string remain same at backend. #Programming #python #datascience #ai #analytics #softwaredesign #career #gethired To learn about data type follow link: https://lnkd.in/dainK3wi
Data Scientist with a passion for data valuation, optimization, and prediction 💫 | Data Analyst | Deep Learning Practitioner✨ | Solving Complex Problems with Data
10 Prominent Machine Learning models and their Pros & Cons that you must definitely know. #python #datascience #datascientist #machinelearning #data #dataanalytics
Web Scraping and Python Automation Expertise | Data Scientist | Freelance Data 📈 | Helping People Become Data Professionals | Helping Clients with AI, Data Projects 🚀
5 th Project: Scraping all medical specialists in U.S. h**ps://ned.nih.gov/search/ 🔗 #Python #WebScraping #ErrorHandling #ProgrammingTips #WebScraping #DataMining #dataextraction #PythonWebScraping #beautifulsoup #WebCrawling #DataHarvesting #codesnippet #apiintegration #automation #datascience #dataanalysis #webautomation
Open Datasets Having access to relevant and high-quality datasets is essential to the development and success of machine learning projects. Below is a list of the top websites that provide datasets for machine... ml-nn.eu/29.html #Learntoday #MachineLearning #NeuralNetworks #Python #AI
#featureengineering Here with next step of feature engineering i.e OUTLIERS #outliers Outliers are data points that deviate significantly from the rest of the data in a dataset. They can have a substantial impact on statistical analyses and machine learning models. Dealing with outliers is an important aspect of data preprocessing. #datapreprocessing so here is code in python with different possibilities #python Thanks, #dataanalysts #datascientists #dataengineers #machinelearningengineers #datascience
Any clue(s) on how to remove decimals from pandas? 🐼 💻 INPUT ⌨ car_sales["Price"].str.replace('[$,.]', '', regex=True).astype(int) OUTPUT 😕 0 400000 1 500000 2 700000 3 2200000 4 350000 5 450000 6 750000 7 700000 8 625000 9 970000 Name: Price, dtype: int64 Data 🔢 #python #machinelearning #AI #pandas #openlearning #worklifemerge
Dive into Linked List data structure with #BeExcel.AI #Python #EnlivenAI #Machine #Data
Leader in Technology, Science and Analytics | Mathematician, Statistician and Psychometrician | Author and Teacher | Coder, Engineer, Architect
What are the ten largest fictional universes I hear you ask? You're welcome 😀 #analytics #datascience #sparql #rstats #python #peopleanalytics #technology #ai
