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Mercedes-Benz Greener Manufacturing, Income Qualifications, DEL_SLR is salary and insurance,
Song Classification, Employer Turnover
Atomic Algorithm-using servers to find Hamiltonian Cycles*, revisiting the concept, written by Mohamed Sghiar
Cluster Set (Clustering + Set Theory), Holomorphic Encryption, K-Means, centroid-based algos, Image Data (by PCA), Big Data Clustering, Hierarchical, Two-Phase, DBScan
Part 2: Chapter 9) Contextualizing Problems and Data, The 5 Mistruths, Researching Solutions, Formulating a Hypothesis, Preparing Data, Feature Generation, Combining Variables, Understanding Binning and Discretization, Indicator Variables, Transforms, Array Operations, Vertices and Matrices
Part 2: Chapter 7) Validating, Removing Duplicates, Creating a Data Map and Data Plan, Manipulating Categorical Variables, Renaming Levels, Combining Levels, Dealing with Dates, Formatting date.time/ time transforming, Missing Data, Encoding Missingness, Imputing Missing Data, Slicing Dicing Filtering n' Selecting, Concatenating and Transforming,
Part 4: Chapter 16) anomalies and novel data, Gaussian distros, Assumptions, Multivariate Approach, PCA, Cluster Analysis for Outliers, Automating Detection with Isolation Forests
Decentralized Hedge-fund written in Motoko for the Internet Computer Protocol. (Using the help of ChatGPT)
Decentralized Hedge-fund converted from Motoko to Solidity (Testing of Translation techniques, Encoding/Compiling and language conversion) all possible routes exhausted
credit to: Namanjeet Singh, Kaggle , https://www.kaggle.com/code/namanjeetsingh/ethereum-cryptocurrency-prediction-using-rnn/notebook
credit to: Ayman Lafaz; Kaggle , https://www.kaggle.com/code/aymanlafaz/ethereum-trends-analysis/notebook
Few price and sentiment analysis scripts in Python; that can be used on ANY stock or coin.
Iris Dataset, Kurtosis, Boxplots, Correlation, Chi-Test, Z-Score Distributions
Linear Regression; family of linear models, adding variables, limitations, Logistic Regression, Naive Bayes, Predictive Text, KNN (K-Nearest Neighbors), predictions and k-parameters
All Python Encryption Services
Chapter 19 Continued
Langton's Ant study in Python + Blender
Advertising dataset
Approaching Python storage systems in the context of human-like ability, focus on AI
311 Service Records
How to fit a model, Understanding bias and variance, Strategy for picking models, Dividing Training/Testing, Cross-Validating, on K-Folds, Sampling stratification, Variable Selection, Greedy Search, Hyperparameters
BTC Price first, then try other coins
Puppeteer; Docker, NodeJS, npm, no Debian/Alpine, Express Server build
Captain's log: day 249; all the Python modules I had skipped over from my original textbook, random.seed(), email, sms, FTP, news search, source clear, etc.
SVD, Factor Analysis, Hidden Factors, Dimensionality Reduction, TSNE, Facial Rec with PCA, NMF, Random Forest Recommender
Part 5: Chapter 19) Non-Linear and variable Transforms, Linear Models, L2 Ridge Regression, L1 Lasso, Regularization, L1 + L2: ElasticNet, Chunking Big Data, SGD, SVM> SVC, nonlinear w/ SVR, Stochastic SVM, Intro to NNs,
SkLearn's Imputer, Numpy and Panda's Imputer function (glazed over), imputation and extraction of null values, Ordinals, OneHot Encoders(OHE), Training/Testing data, LinReg
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.