You will get an excellent data analysis using Machine Learning and Deep Learning
Project details
You will get a deep data analysis along with a predictive model to take your business to the next level. Being an Engineer, working for 2 years as a Data Scientist and being a professor at the University of a Machine Learning course, I always care about choosing the best model according to the data and that the predictions are very accurate. This way, you will be able to make data-driven decisions. The work I deliver is always of good quality and 100% original.
What's included
| Service Tiers |
Starter
$50
|
Standard
$70
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
Number of Revisions | 2 | 2 | 2 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 2 |
Number of Graphs/Charts | 4 | 5 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $20
Additional Model Variation
(+ 2 Days)
+$10
Model Documentation
(+ 2 Days)
+$10About Carolina
Data Science | Machine Learning | Neural Network | Python
Palmi, Italy - 11:42 pm local time
>> FIELDS I HAVE EXPERIENCE IN:
- Data Cleaning
- Exploratory Data Analysis (EDA)
- Data Visualization
- Data Processing:
- Classification and Regression Models with Machine Learning or Statistical methods.
- Neural Networks (Image processing and classification)
- Data Analysis of the results (Python, Data Studio)
- Enhancements: After the ML model is finished, I can optimize a metric. For example, I can maximize sales or find the best way to allocate budget minimizing costs.
>> SOME ML MODELS I WORKED WITH:
- Naive Bayes and Bayesian Networks
- Decision Trees and Random Forest
- K Nearest Neighbor (KNN)
- Supported Vector Machines (SVM)
- Logistic Regression and Linear Regression
- Convolutional Neural Networks (CNN)
- K means
- Hierarchical clustering
>> SOME PROJECTS I WORKED ON:
- I developed a Convolutional Neural Network (CNN) that classifies lesions in mammograms in order to detect breast cancer early
- Recommender system
- Synthetic Data Generation
- Attribution Models: Last click, First click, Markov model
- Propensity models
Steps for completing your project
After purchasing the project, send requirements so Carolina can start the project.
Delivery time starts when Carolina receives requirements from you.
Carolina works on your project following the steps below.
Revisions may occur after the delivery date.
Receive data from client
Perform an exploratory data analysis
I scan the data looking for missing values and outliers. I determine the overall data quality and the different analyses we can make. I analyze what types of data there are (categorical or continuous) because each one will be treated differently.