Neha Seth's repositories
Data-Preprocessing-in-Python
An End-to-End Guide on Data Preprocessing in Machine Learning in Python
Latent-Dirichlet-Allocation-LDA-
End to End implementation of Topic Modeling using LDA
Network-Intrusion-Detection-System
Build network intrusion detection system to detect anomalies and attack in the network (both Binomial and Multinomial classification)
Self-Organizing-Maps
Anomalies detection (fraud customers) and breast cancer detection using the self-organizing maps, an unsupervised deep learning technique
Credit-Card-Segmentation
Built an enriched customer profile by deriving few key performance indicators (KPIs). For dimensionality reduction used Principal Component Analysis. To identify the optimal clusters performed clustering using K-Means and Agglomerative Hierarchical Clustering such as Elbow analysis, Silhouette coefficient, Dendrogram. Performed segment distribution and Profiling to form segments and based on the analysis of each segment identified the key consumption characteristics of each segment.
EDA-Statistical-Case-Studies
Case studies on Pandas for data munging, descriptive & statistical analysis
Audio-Classification
End-to-End working on Binary Audio Classification for Emergency Vs Non-Emergency Vehicle
Credit-Card-Spend
A global bank wants to understand what factors drive the credit card spend and predict the credit limit for the new applicants.
ML-tutorial-with-Python
A Machine Learning Tutorial for Beginners detailing how to detect missing values, treat outliers. Perform Scaling, transforming the data, creating dummy variables. Splitting the data into test and train and model evaluation for a classfication problem.
Pandas-Exercises
Short exercises on NumPy & Pandas
preprocess_sethneha
Preprocess Package for NLP
String-Similarity
A Simple Guide to Metrics for Calculating String Similarity using Hamming and Levenshtein Distance
Walmart-Sales-Forecasting
Predicting weekly store sales for Walmart