Minor typos fixes (#816)

Author: ignaziopedone

qiskit/1_start_here.ipynb

@@ -103,13 +103,13 @@
     "[Qiskit AI](advanced/aqua/artificial_intelligence/index.ipynb) - demonstrates using quantum computers to tackle problems in the artificial intelligence domain. These include using a quantum-enhanced support vector machine to experiment with classification problems on a quantum computer.\n",
     "\n",
     "### 5.2 Qiskit Chemistry\n",
-    "[Qiskit Chemistry](advanced/aqua/chemistry/index.ipynb) - applications in the domain of quantum chemistry on quantum computers, including ground state energy, dipole moments and dissociation plots\n",
+    "[Qiskit Chemistry](advanced/aqua/chemistry/index.ipynb) - applications in the domain of quantum chemistry on quantum computers, including ground state energy, dipole moments and dissociation plots.\n",
     "\n",
     "### 5.3 Qiskit Finance\n",
     "[Qiskit Finance](advanced/aqua/finance/index.ipynb) - provides a collection of applications of quantum algorithms to use cases relevant in finance. This includes use cases like portfolio management, derivative pricing, or credit risk analysis.\n",
     "  \n",
     "### 5.4 Qiskit Optimization\n",
-    "[Qiskit Optimization](advanced/aqua/optimization/index.ipynb) - using VQE (Variational Quantum Eigensolver) to experiment with optimization problems (max-cut and traveling salesman problem) on a quantum computer. Includes optimization problem modelling, using docplex, which can be automatically translated to input suitable for VQE.\n"
+    "[Qiskit Optimization](advanced/aqua/optimization/index.ipynb) - using VQE (Variational Quantum Eigensolver) to experiment with optimization problems (max-cut and traveling salesman problem) on a quantum computer. This includes optimization problem modelling, using docplex, which can be automatically translated to input suitable for VQE.\n"
    ]
   },
   {