Data Science & Developer Roadmaps with Chat & Free Learning Resources
New learning resources
Let’s build an AI On-Call Buddy: MVP using AWS Bedrock to supplement incident response
Imagine a system where an on-call engineer can simply ask a chatbot — “What’s wrong with the checkout service?” and receive a concise, actionable response — complete with logs, metrics, and insights. ...
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Building a Low-Latency Music Collaboration App with WebRTC and Web Audio API: A Developer’s Guide
Remote music collaboration has exploded in popularity, yet many solutions struggle with latency issues that make real-time performance impossible. In this comprehensive guide, we’ll build a low-latenc...
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Build Your First AI Agent with LLMs in Just 5 Minutes
The AI Agents work with your system it can be hardware or software. due to some free APIs of LLM like Google AI Studio and other free… Continue reading on Level Up Coding
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Learn Python
▶️ Basic Functions
Syntax | Variables | Conditions |
Data Types | Numbers |
Strings | Formatting | Operators | Generators |
Decorators | Functions
| Lists | Tuples | Sets | Dictionaries | Parameters | Arguments |
Arrays | Linked Lists
| Hash Tables | Binary Search Trees | Recursion | Sorting
Algorithms | Exception Handling | Serialization
🚀 Advanced Functions
RegEx | Decorators | Lambdas | Iterators | Classes | Inheritance | Methods | List Comprehensions | Generator Expressions | PyPi | PIP | Conda
💠 Frameworks
Django | Flask | CherryPy | Bottle | Dash | | PyTest | Scrapy | PyScript |
🗂 Libraries
TensorFlow | Scikit-Learn | Numpy | Keras | PyTorch | SciPy | Pandas | Theano | Seaborn | OpenCV | Bokeh | Matplotlib | Plotly | BeautifulSoup | SymPy | Pillow
🧰 Other Tools
Selenium | PyCharm | PyTest | Jupyter Notebook | Faker | PyGame | Tkinter
Learn Data Science
▶️ Basics
Linear Algebra | Databases | Tabular Data | Time Series | Extract, Transform, Load | Data Formats | Regular Expressions | Important libraries |
💻 Programming languages for Data Science
SQL | R | Python
🐍 Python for Data Science
Syntax | Variables | Data Types | Functions | Numbers | Operators | Important libraries
🔁 Data Sources
Data Mining | Web scraping | Public Data Sets
📊 Exploratory Data Analysis
Principal Component Analysis | Dimensionality Reduction | Normalization | Data Cleaning | Estimators | Feature Extraction | Sampling
🔢 Statistics
Probability Theory | Continuous Distribution | Summary Statistics | Estimation | Hypothesis Testing | Confidence Interval | Monte Carlo Methods
📈 Data Visualization + tools
Storytelling | Charts | Dashboards | Power BI | Tableau | R | Dash | Seaborn | Matplotlib | Bokeh | Plotly
Learn Machine Learning
📊 Data
Labeling | Exploration | Preprocessing | Splitting | Augmentation
🧮 Modeling
Baselines | Evaluations | Experiment tracking | Optimization
♻️ Algorithms
Supervised Learning | Unsupervised Learning | Ensemble Learning | Reinforcement Learning | Linear Regression | Logistic Regression | Decision Tree | Random Forrest | Support Vector Machines | Naive Bayes | KNN Classification | K-Means
🔌 Use Cases
Computer Vision | Natural Language Processing | Recommender Systems | Pattern recognition
🗂 Frameworks & Libraries
Django | Flask | Keras | Numpy | Pandas | Scikit-Learn | Tensorflow | Matplotlib | PyTorch | Scipy | Hugging Face
🧰 Other tools
Docker | Kubernetes | MLflow
Learn Deep Learning
🧠 Neural Networks
Artificial Neural Networks | Convolutional Neural Networks | Recurrent Neural Networks | Transformers | Generative Adversarial Networks | Long Short Term Memory Networks
🧮 Training Methods
Optimizers | Learning Rate Schedule | Batch Normalization | Batch Size Effects | Regularization | Multi-task Learning | Transfer Learning
🗂 Frameworks & Libraries
Langchain | Django | Flask | Keras | Numpy | Pandas | Scikit-Learn | Tensorflow | Matplotlib | PyTorch | Scipy | Hugging Face
🧰 Other tools
Docker | Kubernetes | MLflow