sethns
Hi! I am enthusiastic about machine learning & data. I like to write about ML & other things. On way to be a CFA Charterholder, have passed all its 3 levels :)
New Delhi, India
Pinned Repositories
Audio-Classification
End-to-End working on Binary Audio Classification for Emergency Vs Non-Emergency Vehicle
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.
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.
Data-Preprocessing-in-Python
An End-to-End Guide on Data Preprocessing in Machine Learning in Python
EDA-Statistical-Case-Studies
Case studies on Pandas for data munging, descriptive & statistical analysis
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)
PCA
A Step-by-Step approach on how to reduce dimensions using Principal Component Analysis.
Self-Organizing-Maps
Anomalies detection (fraud customers) and breast cancer detection using the self-organizing maps, an unsupervised deep learning technique
String-Similarity
A Simple Guide to Metrics for Calculating String Similarity using Hamming and Levenshtein Distance
sethns's Repositories
sethns/Data-Preprocessing-in-Python
An End-to-End Guide on Data Preprocessing in Machine Learning in Python
sethns/Latent-Dirichlet-Allocation-LDA-
End to End implementation of Topic Modeling using LDA
sethns/Self-Organizing-Maps
Anomalies detection (fraud customers) and breast cancer detection using the self-organizing maps, an unsupervised deep learning technique
sethns/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.
sethns/Network-Intrusion-Detection-System
Build network intrusion detection system to detect anomalies and attack in the network (both Binomial and Multinomial classification)
sethns/PCA
A Step-by-Step approach on how to reduce dimensions using Principal Component Analysis.
sethns/EDA-Statistical-Case-Studies
Case studies on Pandas for data munging, descriptive & statistical analysis
sethns/String-Similarity
A Simple Guide to Metrics for Calculating String Similarity using Hamming and Levenshtein Distance
sethns/Audio-Classification
End-to-End working on Binary Audio Classification for Emergency Vs Non-Emergency Vehicle
sethns/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.
sethns/Medicare-Health-Care-Case-Study-_Cloudera-Data-Science-Challenge
sethns/FortunAI
sethns/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.
sethns/Pandas-Exercises
Short exercises on NumPy & Pandas
sethns/preprocess_sethneha
Preprocess Package for NLP
sethns/Walmart-Sales-Forecasting
Predicting weekly store sales for Walmart