Machine Learning & Artificial Intelligence | Data Science Free Courses

𝗙𝗿𝗲𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝗯𝘆 𝗔𝗰𝗰𝗲𝗻𝘁𝘂𝗿𝗲: 𝗚𝗮𝗶𝗻 𝗦𝗸𝗶𝗹𝗹𝘀 & 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀!😍 Take a step towards your dream job with these FREE virtual internship programs by Accenture. 𝗟𝗶𝗻𝗸👇:-  https://pdlink.in/3WfdTxs Enroll For FREE & Get Certified🎓

Coursera Plus is available at the least possible cost: 👇 https://imp.i384100.net/xLyEmx If you want to learn Data Science, Data Analytics, Project Management, Artificial Intelligence, etc.

How to start a data science career

𝐆𝐨𝐨𝐠𝐥𝐞 𝐅𝐑𝐄𝐄 𝐀𝐈/𝐌𝐋 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞😍 Unlock the world of AI/ML with Google’s completely free course series! Learn everything from the basics of machine learning to advanced AI applications, guided by experts at Google. 𝐋𝐢𝐧𝐤👇 :- https://bit.ly/3OlV86R Enroll For FREE & Get Certified🎓

An important collection of the 15 best machine learning cheat sheets. 1- Supervised Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf 2- Unsupervised Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf 3- Deep Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf 4- Machine Learning Tips and Tricks https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf 5- Probabilities and Statistics https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf 6- Comprehensive Stanford Master Cheat Sheet https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf 7- Linear Algebra and Calculus https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf 8- Data Science Cheat Sheet https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf 9- Keras Cheat Sheet https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf 10- Deep Learning with Keras Cheat Sheet https://github.com/rstudio/cheatsheets/raw/master/keras.pdf 11- Visual Guide to Neural Network Infrastructures http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png 12- Skicit-Learn Python Cheat Sheet https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf 13- Scikit-learn Cheat Sheet: Choosing the Right Estimator https://scikit-learn.org/stable/tutorial/machine_learning_map/ 14- Tensorflow Cheat Sheet https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf 15- Machine Learning Test Cheat Sheet https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/ ENJOY LEARNING 👍👍

Free Resources only for Indian Users 👇👇 https://chat.whatsapp.com/LnN7UuGbaEyHOfDFbuz0SA

Free Programming and Data Analytics Resources 👇👇 ✅ Data science and Data Analytics Free Courses by Google https://developers.google.com/edu/python/introduction https://grow.google/intl/en_in/data-analytics-course/?tab=get-started-in-the-field https://cloud.google.com/data-science?hl=en https://developers.google.com/machine-learning/crash-course https://t.me/datasciencefun/1371 🔍 Free Data Analytics Courses by Microsoft 1. Get started with microsoft dataanalytics https://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft/ 2. Introduction to version control with git https://learn.microsoft.com/en-us/training/paths/intro-to-vc-git/ 3. Microsoft azure ai fundamentals https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/ 🤖 Free AI Courses by Microsoft 1. Fundamentals of AI by Microsoft https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/ 2. Introduction to AI with python by Harvard. https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python 📚 Useful Resources for the Programmers Data Analyst Roadmap https://t.me/sqlspecialist/94 Free C course from Microsoft https://docs.microsoft.com/en-us/cpp/c-language/?view=msvc-170&viewFallbackFrom=vs-2019 Interactive React Native Resources https://fullstackopen.com/en/part10 Python for Data Science and ML https://t.me/datasciencefree/68 Ethical Hacking Bootcamp https://t.me/ethicalhackingtoday/3 Unity Documentation https://docs.unity3d.com/Manual/index.html Advanced Javascript concepts https://t.me/Programming_experts/72 Oops in Java https://nptel.ac.in/courses/106105224 Intro to Version control with Git https://docs.microsoft.com/en-us/learn/modules/intro-to-git/0-introduction Python Data Structure and Algorithms https://t.me/programming_guide/76 Free PowerBI course by Microsoft https://docs.microsoft.com/en-us/users/microsoftpowerplatform-5978/collections/k8xidwwnzk1em Data Structures Interview Preparation https://t.me/crackingthecodinginterview/309?single 🍻 Free Programming Courses by Microsoft ❯ JavaScript http://learn.microsoft.com/training/paths/web-development-101/ ❯ TypeScript http://learn.microsoft.com/training/paths/build-javascript-applications-typescript/ ❯ C# http://learn.microsoft.com/users/dotnet/collections/yz26f8y64n7k07 Join @free4unow_backup for more free resources. ENJOY LEARNING 👍👍

𝐅𝐑𝐄𝐄 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩𝐬 😍 Struggling with no experience in data analytics? Don't worry! 💡 Check out these free virtual internships from top companies like BCG, TATA, and Accenture that you can do remotely.  𝐋𝐢𝐧𝐤👇:-  https://pdlink.in/409RHXN Enroll For FREE & Get Certified 🎓.

𝐅𝐫𝐨𝐦 𝐃𝐚𝐭𝐚 𝐭𝐨 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: 𝐊𝐞𝐲 𝐒𝐤𝐢𝐥𝐥𝐬 𝐀𝐜𝐫𝐨𝐬𝐬 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐌𝐋 𝐑𝐨𝐥𝐞𝐬. 📝 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 (Avg salary for a fresher: 6-8 LPA) 1. Excel 2. SQL (80% of the interview will be on expertise in SQL) 3. Python (Basic to intermediate knowledge required) 4. Data visualization tool (Most common: Tableau/PowerBI) 5. Statistics (Basic to intermediate) 📝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 (Avg salary for a fresher: 10-15 LPA) 1. Excel, SQL, Python, Tableau/PowerBI, Statistics (All data analyst skills) 2. Mathematics (Linear algebra, Calculus) 3. Machine learning (Scikit-learn: Supervised, Unsupervised, Recommender systems, Timeseries modelling) 4. Deep learning (TensorFlow, PyTorch) 5. NLP (NLTK, spacy, gensim) 📝 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (Avg salary for a fresher: 9-12 LPA) 1. Big data tools (Hadoop, Spark, Hive) 2. Python, Java or Scala 3. Data pipeline automation 4. SQL & NoSQL databases 5. ETL tools & Data warehousing (Apache Nifi, Talend, Airflow) 6. Cloud computing (AWS, Azure, GCP) 📝 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (Avg salary for a fresher: 10-12 LPA) 1. Cloud platforms (AWS, Azure, GCP) 2. Machine learning 3. DevOps & CI/CD 4. Version control 5. Code optimization & Tuning 📝 𝐌𝐋𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (Avg salary for a fresher: 8-10 LPA) 1. CI/CD for ML Pipelines 2. Docker, Kubernetes & Container orchestration 3. Monitoring & Logging (Prometheus, Grafana, ELK stack: Elasticsearch, Logstash, Kibana) 4. Model versioning & Governance (MLflow, DVC) 5. Infrastructure as code (IaC): Teraform, CloudFormation, Ansible 6. API development & Integration 7. Automated testing for data validation, model performance & pipeline integrity I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://topmate.io/analyst/861634 Hope this helps you 😊

𝐀𝐦𝐚𝐳𝐨𝐧 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 😍 Learn AI for free with Amazon's incredible courses! These courses are perfect to upskill in AI and kickstart your journey in this revolutionary field. 𝐋𝐢𝐧𝐤 👇:- https://bit.ly/3CUBpZw Don’t miss out—enroll today and unlock new career opportunities! 💻📈

Types of Databases

Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻 It's easy with Telega.io. As the leading platform for native ads and integrations on Telegram, it provides user-friendly and efficient tools for quick and automated ad launches. ⚡️ Place your ad here in three simple steps: 1 Sign up 2 Top up the balance in a convenient way 3 Create your advertising post If your ad aligns with our content, we’ll gladly publish it. Start your promotion journey now!

Data Science Roles

𝐍𝐕𝐈𝐃𝐈𝐀 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 😍  Transform your skills with these cutting-edge courses by NVIDIA. Check out the following NVIDIA FREE AI Certification Courses 𝐋𝐢𝐧𝐤👇:-  https://bit.ly/3YXv0nY Enroll For FREE & Get Certified 🎓

Machine Learning (17.4%) Models: Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVMs), K-Nearest Neighbors (KNN), Naive Bayes, Neural Networks (including Deep Learning) Techniques: Training/testing data splitting, cross-validation, feature scaling, model evaluation metrics (accuracy, precision, recall, F1-score) Data Manipulation (13.9%) Techniques: Data cleaning (handling missing values, outliers), data wrangling (sorting, filtering, aggregating), data transformation (scaling, normalization), merging datasets Programming Skills (11.7%) Languages: Python (widely used in data science for its libraries like pandas, NumPy, scikit-learn), R (another popular choice for statistical computing), SQL (for querying relational databases) Statistics and Probability (11.7%) Concepts: Descriptive statistics (mean, median, standard deviation), hypothesis testing, probability distributions (normal, binomial, Poisson), statistical inference Big Data Technologies (9.3%) Tools: Apache Spark, Hadoop, Kafka (for handling large and complex datasets) Data Visualization (9.3%) Techniques: Creating charts and graphs (scatter plots, bar charts, heatmaps), storytelling with data, choosing the right visualizations for the data Model Deployment (9.3%) Techniques: Cloud platforms (AWS SageMaker, Google Cloud AI Platform, Microsoft Azure Machine Learning), containerization (Docker), model monitoring

𝐒𝐐𝐋 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 😍 🚀 Here are some top resources offering free courses to help you learn SQL from scratch or level up your skills. Whether you're preparing for interviews, aiming for a job in data analytics, or improving your database knowledge, these courses have got you covered! 𝐋𝐢𝐧𝐤 👇:-    https://pdlink.in/4iWv3tk   Enroll For FREE & Get Certified 🎓

Data Analyst Roadmap: - Tier 1: Excel & SQL - Tier 2: Data Cleaning & Exploratory Data Analysis (EDA) - Tier 3: Data Visualization & Business Intelligence (BI) Tools - Tier 4: Statistical Analysis & Machine Learning Basics Then build projects that include: - Data Collection - Data Cleaning - Data Analysis - Data Visualization And if you want to make your portfolio stand out more: - Solve real business problems - Provide clear, impactful insights - Create a presentation - Record a video presentation - Target specific industries - Reach out to companies I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://topmate.io/analyst/861634 Hope this helps you 😊

Join before I delete the post

Free Resources only for Indian Users 👇👇 https://chat.whatsapp.com/KDNWxWYJgC50nC18TsJSBh