GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
data-pre-processingHere are 18 public repositories matching this topic...Language: All
Filter by language
Sort: Most stars
Sort options
A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.
python transportation geospatial-data data-visualization data-analysis spatio-temporal-data data-pre-processing data-quality-analysis taxi-gps-data bus-gps-data bike-sharing-data
Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.
python machine-learning random-forest scikit-learn data-visualization feature-selection feature-extraction classification supervised-machine-learning model-training step-detection gait-analysis rfe rfecv data-pre-processing step-counting model-testing
Code for PerCom paper 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'
privacy exploratory-data-analysis mirai-bot supervised-learning ddos-attacks botnet-detection malware-detection edge-computing one-class-classification data-pre-processing iot-devices attack-classification
Dynamic Data-set preparation for audio, video, images
audio audio-analysis audio-streaming audio-applications classification audio-classification data-preparation audio-processing data-pre-processing preproce
python natural-language-processing data-visualization odds-ratio dependency-parsing bias-detection data-pre-processing
Maching Learning Project : A classification problem using K Nearest Neighbor(KNN), Decision Tree, Support Vector Machine, and Logistic Regression algorithms
python data-science data machine-learning analysis machine-learning-algorithms jupyter-notebook banking data-visualisation logistic-regression support-vector-machine decision-trees knn kmeans-clustering k-nearest-neighbor classification-model loan-prediction-analysis data-pre-processing
A hands-on distributed streaming system built with Python and Apache Kafka to process network logs and events in real time, while documenting the learning process step by step.
training machine-learning kafka networking numpy scikit-learn logs apache inference pandas feature-engineering anomaly-detection data-pre-processing ml-evaluation
Exercises related to data preprocessing and cleaning
Customer Segmentation using Clustering Algorithms
python analytics self-organizing-map customer-segmentation data-pre-processing clustering-algorithms
python machine-learning scikit-learn jupyter-notebook data-analytics prediction-model data-pre-processing
Tugas akhir saat saya melakukan virtual internship ID/X pada laman rakamin
Transfer learning for image classification using pre-trained models like ResNet50, ResNet100, EfficientNetB0, and VGG16 in Keras. Fine-tunes the last layers, applies image augmentation, and evaluates with Precision, Recall, AUC, F1 score, and early stopping for improved performance.
deep-learning keras batch-normalization image-classification regularization transfer-learning vgg16 image-augmentation multiclass-classification adam-optimizer resnet50 early-stopping data-pre-processing relu-activation efficientnetb0 resnet100 precision-recall-auc-f1-score
A series of six hands-on projects completed during my PGP ML and AI academic training with UT Austin and Great Learning
data-science machine-learning tensorflow exploratory-data-analysis word-embeddings keras cross-validation artificial-neural-networks hyperparameter-tuning decision-tree-classifier smote bivariate-analysis random-forest-classifier data-pre-processing univariate-analysis transfer-learning-with-cnn bagging-ensemble boosting-ensemble large-language-models model-building-and-evaluation
machine-learning sklearn data-preprocessing machine-learning-basics machinelearning-python data-pre-processing
Machine Learning Algorithm to predict the House prices.
neural-network evaluation lasso xgboost data-exploration modeltrain hypothesis-generation data-pre-processing
Using data pre-processing and machine learning methods to predict loan defaults of a large Freddie Mac dataset. Collaborative project with George Boutselis for Machine Learning in Python (MATH11205) at the University of Edinburgh. Awarded 80%.
Add this topic to your repoTo associate your repository with the data-pre-processing topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |