339 skills found · Page 11 of 12
Nocy-io / Nocy Wallet IndexerA unified wallet synchronization service for the Midnight blockchain. Aggregates shielded transactions, nullifiers, dust events, and unshielded UTXOs into a single REST/SSE feed. Handles data normalization (bech32↔hex), deterministic session IDs, automatic reorg detection, and real-time streaming.
bhanuprakash556 / Liver Diseases PredictionMachine learning is one of the most critical aspects of automated disease diagnosis and disease prediction. It involves data mining algorithms and techniques to analyze medical data. In recent years, liver disorders have excessively increased and liver diseases are becoming one of the most fatal diseases in several countries. In this thesis, liver patient datasets are investigate for building classification models in order to predict liver disease. This thesis implemented a feature model construction and comparative analysis for improving prediction accuracy of Indian liver patients in three phases. In first phase, min max normalization algorithm is applied on the original liver patient datasets collected from UCI repository. In liver dataset prediction second phase, by the use of PSO feature selection, subset (data) of liver patient dataset from whole normalized liver patient datasets is obtained which comprises only significant attributes. Third phase, classification algorithms are applied on the data set. In the fourth phase, the accuracy will be calculated using root mean Square value, root mean error value.J48 algorithm is considered as the better performance algorithm after applying PSO feature selection. Finally, the evaluation is done based on accuracy values.
FedrerSchumacherjudeJ / Student Performance Prediction Using Machine LearningThis project uses Machine Learning to predict whether a student will pass or fail based on study hours, attendance, and marks. Data preprocessing is performed to handle missing values, convert categorical data, and normalize features before training a Logistic Regression model. The system helps identify students who need academic support.
NishthaChaudhary / Text Data Analysis For CoMeDiAnS NLP ProjectNatural language processing (NLP) is an exciting branch of artificial intelligence (AI) that allows machines to break down and understand human language. I plan to walk through text pre-processing techniques, machine learning techniques and Python libraries for NLP. Text pre-processing techniques include tokenization, text normalization and data cleaning. Once in a standard format, various machine learning techniques can be applied to better understand the data. This includes using popular modeling techniques to classify emails as spam or not, or to score the sentiment of a tweet on Twitter. Newer, more complex techniques can also be used such as topic modeling, word embeddings or text generation with deep learning. We will walk through an example in Jupyter Notebook that goes through all of the steps of a text analysis project, using several NLP libraries in Python including NLTK, TextBlob, spaCy and gensim along with the standard machine learning libraries including pandas and scikit-learn.
mrc03 / Gender Recognition By Voice Val. Acc. 0.9908 The Gender Recognition by Voice dataset from kaggle. The dataset consists of 3168 voice samples each of which has 20 different acoustic properties and the target variable is the 'gender' or the 'label'. I have done exhaustive EDA to analyze the data and the underlying trends. Also the outliers have been detected and removed for better performance. I have also done significant feature engineering by adding couple of new relevant features. Also I have normalized the data for better performance. Lastly I have used many classification algos. from the scikit to predict the 'gender' from the voice sample. For me SVM gives highest accuracy of about a little more than 99.1 %.
shaptonstahl / GDELTtoolsDownload, slice, and normalize GDELT data
jcrudy / CONORR packages for cross-platform normalization of microarray data
Canadensys / Narwhal ProcessorBasic data processing library aiming to normalize similar values in a known format.
HCBravoLab / WrenchCompositional correction and normalization for sparse, under-sampled count data
MLWorkshops / Nlp Dealing With Text DataUsing SpaCy to deal with text data such tokenization, normalization and labeling including ethics review.
lysyi3m / Json Api NormalizerUtility to normalize JSON:API data with ease
betagouv / React Hook DataA lib for fetching normalized data in components through react hooks
AnneDirkson / LexNormLexical normalization pipeline for medical patient forum data
abdullah-zero9 / SQL Gym Management SystemThis project created an efficient SQL database for Gym Management System software, employing normalized tables and SQL queries for robust data management.
mahadi-nahid / NormTab[EMNLP 2024] NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization
myeongkyunkang / FedNNPattern Recognition. "FedNN: Federated learning on concept drift data using weight and adaptive group normalizations"
costaraphael / Ex ValidatorHelpers for validating and normalizing Elixir data structures.
dielduarte / Minimal Normalizenormalizing your data before sending to your store
wearefair / ModelmapperDeterministic Data Driven Schema Modeling: Auto generate SQLalchemy models, cleaning and normalization functions from your csv files!
USEPA / ToxvaldbmainR package of scripts used to transform data in toxval_source (processed from ToxVal_Stage package) into normalized ToxValDB format.
