5 of 5 Logistic Regression Jobs in London

tools: Plotly, Matplotlib, Seaborn. Big Data Technologies Hadoop, MapReduce, HDFS Spark, PySpark, Databricks DataLake architectures, AWS EMR, Redshift, Kinesis Machine Learning Supervised: Naïve Bayes, Logistic Regression, SVM, Linear Regression, KNN Tree-Based: Decision Trees, Random Forest, Gradient Boosting, XGBoost Unsupervised: K-Means, DBSCAN, Hierarchical Clustering Deep Learning ...

Seaborn) - Statistical & Multivariate Analysis Big Data: - Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark - DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning - Supervised Models: Naïve Bayes, Logistic Regression, SVM, Linear Regression, KNN - Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees, XGBoost - Unsupervised Models: K-Means, DBSCAN, Hierarchical ...

Seaborn) - Statistical & Multivariate Analysis Big Data: - Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark - DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning - Supervised Models: Naïve Bayes, Logistic Regression, SVM, Linear Regression, KNN - Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees, XGBoost - Unsupervised Models: K-Means, DBSCAN, Hierarchical ...

Seaborn) Statistical & Multivariate Analysis Big Data: Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning Supervised Models: Nave Bayes, Logistic Regression, SVM, Linear Regression, KNN, Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees, XGBoost Unsupervised Models: K-Means, DBSCAN, Hierarchical ...

insurance pricing or similar analytical roles. Strong data manipulation abilities with tools such as SAS, R, or Python. Understanding of predictive modelling approaches (e.g., logistic regression, GBMs). What's on Offer Hybrid & Flexible Working: Smart working options plus a minimum of 35 days' annual leave. Health & Well ...