agglomerative-clustering

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alc-4-phase1

anga

A conversational AI weather bot

auto-agent

Autonomous AI Agent built on top of AutoGPT

babynames

python Regular expression exercise

bagging-pasting

📚 Regression using bagging and pasting

binary-classification

🔨classification using binary numerical data

checkpointing-ml

classification-model

a simple classification model in machine learning

clozy

About ME

clustering-ml

🧰performing k-means clustering on labeled and unlabeled data

dataencoders-ml

representing categorical data(ordinal,nominal)using label-encoding and one-hot-encoding in machine learning data preparation

datastory

Social media pages data story

dimensionality-reduction

machine learning solution for reducing complexity in data||The Curse of Dimensionality :o

discretization-machinelearning

discretization of continous values using pandas cut and sklearn preprocessing estimator KBinsDiscretizer

feature-scaling-transformation-ml

scaling data before feeding it to the model for training and testing,from sklearn preprocessing estimator .MinMaxScaler,StandardScaler,Normalizer and Binarizer

featureimputation-ml

FeatureImputation as a part of Machine Learning pipeline in Data Preparation using scikit-learn pipeline

forestfiresforecast-machinelearning

building your first machine learning solution with python and pycharm :o .

gradient-boosting-

📏 Regression using gradient boosting

keras-yolo3

Training and Detecting Objects with YOLO3

linear-regression

📈Linear regression with numerical data

lyser

A text processing and chat agent building PYPI package

machine-learning-regression-

Regression using categorical data 😎

market-segmentation

missing-value-indicator

indicate missing values in data using scikit-learn MissingIndicator

multiple-classification

🛠multiple types of classification / machine learning

multiple-regression

🗂multiple types of regression in machine learning

multivariatefeatureimputation

Filling missing values in your data using multivariate feature imputation(with use pf scikit_learn IterativeImputer)

neural-networks-

⛓Regression using Neural Networks

non-linear-data-dimensionality-r

dimensionality reduction of non linear data