zqcsrz,github

DeepLearning.AI TensorFlow Developer Professional Certificate -Coursera

deeplearning.ai-tensorflow-developer-professional-certificate

DeepLearning.AI TensorFlow Developer Professional Certificate

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

deeptesla

End-to-End Learning from Tesla Autopilot Driving Data

Demand Forecasting is the process in which historical sales data is used to develop an estimate of an expected forecast of customer demand. To businesses, Demand Forecasting provides an estimate of the amount of goods and services that its customers will purchase in the foreseeable future. Critical business assumptions like turnover, profit margins, cash flow, capital expenditure, risk assessment and mitigation plans, capacity planning, etc. are dependent on Demand Forecasting. Demand Forecasting is the pivotal business process around which strategic and operational plans of a company are devised. Based on the Demand Forecast, strategic and long-range plans of a business like budgeting, financial planning, sales and marketing plans, capacity planning, risk assessment and mitigation plans are formulated. Short to medium term tactical plans like pre-building, make-to-stock, make-to-order, contract manufacturing, supply planning, network balancing, etc. are execution based. Demand Forecasting also facilitates important management activities like decision making, performance evaluation, judicious allocation of resources in a constrained environment and business expansion planning.

developing-advanced-plots-with-matplotlib

Developing Advanced Plots with Matplotlib [Video], Published by Packt

developing-with-s3-aws-with-python-and-boto3-series

Code repository for Developing with S3: AWS with Python and Boto3 Series, Published by Packt

devops-exercises_azure

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

devops-python-tools

80+ DevOps & Data CLI Tools - AWS, GCP, GCF Python Cloud Functions, Log Anonymizer, Spark, Hadoop, HBase, Hive, Impala, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Travis CI, AWS CloudFormation, Elasticsearch, Solr etc.

distributed-data-systems-with-azure-databricks

Distributed Data Systems with Azure Databricks, published by Packt

docker-hadoop-hive-parquet

Hadoop, Hive, Parquet and Hue in docker-compose v3

docker-hive

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.