8 of 8 Logistic Regression Jobs in the UK excluding London

mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/ ...

mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/ ...

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 ...

applying ML in the Accounting/Finance domain a plus Experience wrangling data, writing SQL queries and basic scripting. Deep experience with: logistic regression, gradient descent, regularization, cross-validation, overfitting, bias, variance, eigenvectors, sampling, latency, computational complexity, sparse matrices. You may be a fit for this role ...

applying ML in the Accounting/Finance domain a plus Experience wrangling data, writing SQL queries and basic scripting. Deep experience with: logistic regression, gradient descent, regularization, cross-validation, overfitting, bias, variance, eigenvectors, sampling, latency, computational complexity, sparse matrices. You may be a fit for this role ...

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 ...