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Energy / Heating: Electricity
Heating system: Electric baseboards
Equipment / Services: Accessible, Elevator (s), Laundry room, Central air conditioning, Wall-mounted air conditioning, Air exchanger, Sprinklers, Electric garage door opener
Swimming pool: heated
View: City view
Proximity: Bicycle path, CEGEP, Commuter train, Daycare, Elementary school, Highway, Hospital, Metro, Building details Energy efficient park, Public transportation, University

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Machine Learning with Python

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Introduction to Machine Learning

• Introduction to Machine Learning

• Python for Machine Learning

• Supervised vs Unsupervised

Regression

• Introduction to Regression

• Simple Linear Regression

• Model Evaluation in Regression Models

• Evaluation Metrics in Regression Models

• Multiple Linear Regression

• Non-Linear Regression

Classification

• Introduction to Classification

• K-Nearest Neighbours

• Evaluation Metrics in Classification

• Introduction to Decision Trees

• Building Decision Trees

• Intro to Logistic Regression

• Logistic regression vs Linear regression

• Logistic Regression Training

• Support Vector Machine

Clustering

• Intro to Clustering

• Intro to k-Means

• More on k-Means

• Intro to Hierarchical Clustering

• More on Hierarchical Clustering

• DBSCAN

Recommender Systems

• Intro to Recommender Systems

• Content-based Recommender Systems

• Collaborative Filtering

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Introduction to Data Science & Analytics Techniques

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• Introduction to Data Science
• Introduction to Python
• Data Analysis Pipeline
• What is Data Extraction
• Types of Data
• Raw and Processed Data
• Data Wrangling
• Overview of the Analytics Techniques
• Analytics
• Business Intelligence
• Business Analytics
• Industry Examples

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SQL for Data Science

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Basic SQL

• Introduction to SQL

• DDL & DML Statement

• SELECT Statement AGGREGATE functions

• WHERE, ORDER BY, DISTINCT, GROUP BY, LIKE, AND & OR clause

• UPDATE & DELETE query

Advanced SQL

• JOINS

• UNION, UNION ALL, INTERSECT

• Using VIEWS & INDEXES

• Sub Queries

• NULL values & DATE function

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Numpy

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• Indexing
• ndarray
• Array Creation
• Data Type Objects
• Data type Object (dtype) in NumPy
• Basic Slicing and ALinear Algebra
• Sorting, Searching and Counting
• Set 1 (Introduction)dvanced Indexing
• Iterating Over Array
• Binary Operations
• Mathematical Function
• String Operations

• Set 2 (Advanced)
• Multiplication of two Matrices in Single line using Numpy in Python

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6 Month Internship

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• Live Projects in an Internship Company with access to Virtual Cloud based Linux System

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Statistics & Probability

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About Data

• Data definition
• Raw and Processed data
• Data Types (NOIR)

Descriptive Stats

• Measure of Central Tendency
• Measure of Dispersion
• Measure of Association

Probability

• Basic terminology
• Rules and Events
• Conditional probability and Bayes theorem

Data Distribution

• Skewness
• t-Distribution
• Uniform Distribution
• Binomial Distribution
• Poisson Distribution
• Geometric Distribution
• Gaussian Distribution
• Standard Normal Distribution
• Central Limit Theorem

Inferential Stats

• Estimation technique
• Hypothesis Testing (t-statistic calculations)

Sampling tecniques

• Random Sampling,
• Stratified Sampling

Statistical Tests

• ANOVA
• Chi-Square

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Introduction to NLP

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• Syntactical Parsing
• Text Preprocessing
• Text to Features (Feature Engineering on text data)
• Noise Removal
• Lexicon Normalization
• Lemmatization
• Stemming
• Object Standardization
• Dependency Grammar
• Part of Speech Tagging
• Entity Parsing
• Phrase Detection
• Named Entity Recognition
• Topic Modelling
• N-Grams
• Statistical features
• TF – IDF
• Frequency / Density Features
• Readability Features
• Word Embeddings
• Important tasks of NLP
• Text Classification
• Text Matching
• Levenshtein Distance
• Phonetic Matching
• Flexible String Matching
• Important NLP libraries

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Pandas

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Pandas DataFrame

• Creating a Pandas DataFrame
• Dealing with Rows and Columns in Pandas DataFrame
• Indexing and Selecting Data with Pandas
• Boolean Indexing in Pandas
• Conversion Functions in Pandas DataFrame
• Iterating over rows and columns in Pandas DataFrame
• Working with Missing Data in Pandas
• Working With Text Data
• Working with Dates and Times
• Merging, Joining and Concatenating

Data Analysis

• Data visualization using Bokeh
• Exploratory Data Analysis in Python
• Data visualization with different Charts in Python
• Data Analysis and Visualization with Python
• Math operations for Data analysis

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Data Analysis & Wrangling

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• Data Analysis Pipeline
• What is Data Extraction
• Types of Data
• Raw and Processed Data
• Data Wrangling
• Exploratory Data Analysis

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- Type of co-ownership: divided (share: 0.509%)
- Floor: 1st floor (ground floor)
- Total number of floors: 8
- Private plan. Serving area: 879.41 sqft
- Cadastre of the private part: 6,254,390
- Zoning: Residential
- Year of construction: 2019
- Declaration of co-ownership issued: Yes (2019)
- Resumption / Judicial authorization: No
- Cert. of Loc. (divided part): Yes (2019)
- Occupation: 60 days PP / PR accepted
- Signature of the deed of sale: 60 days PP / PR accepted

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Energy / Heating: Electricity
Heating system: Electric baseboards
Equipment / Services: Accessible, Elevator (s), Laundry room, Central air conditioning, Wall-mounted air conditioning, Air exchanger, Sprinklers, Electric garage door opener
Swimming pool: heated
View: City view
Proximity: Bicycle path, CEGEP, Commuter train, Daycare, Elementary school, Highway, Hospital, Metro, Building details Energy efficient park, Public transportation, University

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